• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.495-501
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• 2013

The words a speaker uses can be regarded as the core, the main issue and a symbolic icon of what he says. Applying this to presidents' addresses of each English literary society in Korea shows that frequency in use and the linkage of words they use in their addresses are value and ideas executive officers pursue. The purpose of this study is to analyze the contents of presidents' addresses introduced in home page of each English literary society in Korea and investigate features and constitution of them each, focusing on analysis of a language network. The results of this study show the features of resemblances and differences of commonly-used words. In addition, these results appear to suggest that they can be also applied to a comparative study between the English literary societies in Korea.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.385-398
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• 2016

This research analyzed domestic newspapers' agenda setting trend and meaning construction process on the issue of marine environment by year. The research conducted a language network analysis and used R program and Netminer program to analyze four major daily newspapers' news coverages (Dong-A, Joongang, Hanhyoreh, and Kyunghyang) for the last ten years (2005-2014). The results show that the issue of marine environment in Korean media reports are signified in the economic context. For the last ten years, news reports are mainly focused on the 'development' issue of marine environment, without distinction of year. The core key words of the networks are "development", "plan", and "project." However, diverse strategies for 'preservation' are not covered in media reports as a major issue. The importance of effective preservation and reasonable development should be considered in a balanced way. Korean media coverages mainly concentrate on the development issue, and it has a strong influence on considering the marine environment area as an object of development. Future direction and implication of the press reports related to marine environment are discussed.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.1-6
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• 2024

OMNeT++ (Objective Modular Network Testbed in C++) is an extensible and modular C++ simulation library and framework for building network simulators. OMNeT++ provides simulation models independently developed for various fields, including sensor networks, and Internet protocols. This enables researchers to use the tools and features required for their desired simulations. OMNeT++ uses NED (Network Description) Language to define nodes and network topologies, and it is able to implement the creation and behavior of defined network objects in C++. Moreover, the INET framework is an open-source model library for the OMNeT++ simulation environment, containing models for various networking protocols and components, making it convenient for designing and validating new network protocols. This paper aims to explain the concepts of OMNeT++ and the procedures for network simulation using the INET framework to assist novice researchers in modeling and analyzing various network scenarios.

• Language and Information
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• v.14 no.2
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• pp.131-157
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• 2010

This article reports an attempt to perform a similarity analysis on a collection of 25 culinary manuscripts in Chosun periods using a set of quantitative text analysis methods. Historical culinary texts are valuable resources for linguistic, historic, and cultural studies. We consider the similarity of two texts as the distributional similarities of the functional components of the texts. In the case of culinary texts, text elements such as food names, cooking methods, and ingredients are regarded as functional components. We derive the similarity information from the distributional characteristics of the two key functional components, cooking methods and ingredients. The results are also quantified and visualized to achieve a better understanding of the properties of the individual texts and the collection of the texts as a whole.

• Journal of the Korean earth science society
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• v.40 no.3
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• pp.283-299
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• 2019

The purpose of this study is to identify the conflict frames in the process of designating the national geopark, among local residents, geology experts, and local public officials. For this purpose, the progress of the public hearing on the implementation of the national geopark in Buan and Gochang were recorded with prior consent from the participants and transferred in text form. Subsequently, we developed a reference frames for analyzing conflict frames through literature review, and analyzed the conflict frames by three researchers based on this. These analyzed conflict frames were again analyzed by using semantic network analysis. The results are as follows. In the Buan area, 'Sagree' frame, 'Snot' frame, and 'Sdisagree' frame showed high eigenvector centrality, and 'Gharm' frame and 'Cmeconomy' frame were closely connected to the 'Snot' frame located at the center of the semantic network. In the Gochang area, 'Aresource' frame, 'Cmexample' frame, and 'Gharm' frame showed high eigenvector centrality, and 'Gharm' frame and 'Cmproblemsolution' frame were closely connected to the 'Snot' frame located at the center of the semantic network. Through these results, we could see that there is still the conflict about the certification of national geopark between stakeholders in Buan, and that Gochang's stakeholders are proudly aware of their own resources. The Buan's stakeholders focused on economic gains in resolving conflicts, while Gochang's stakeholders focused on problem solving. This result of this study provides information in conflict from the national geopark in other regions.

• Korean Association of Arts Management
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• no.59
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• pp.5-31
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• 2021

The purpose of this study is to analyze social perceptions and discourses about creating arts in the era of artificial intelligence with making an implication of responding to the emergence of artificial intelligence. We conceptually understand the principles and limitations of creating visual arts using artificial intelligence whilst this paper addresses ai art in the social context by borrowing the theoretical lens from the sociology of arts. This article considers 472 newspapers about artificial intelligence art as the main data, which are interpreted through semantic network analysis. The analysis of this research shows that it is a controversial issue regarding who/which creates the artworks between humans and computers. However, judging from the dominant influence of a group of words representing the recognition of intellectual property rights, we have detected that social awareness is formed around the perspective of considering artificial intelligence creates visual arts rather than artists. In addition, based on the close relationship between the cluster and the cluster reflecting institutional support, we confirm that the discourse about artificial intelligence art is limited to technological development and legal system maintenance. Thus, this study suggests the need for defining artificial intelligence as the medium of art and constructing policy discourses on artificial intelligence art as an artistic genre.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.115-124
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• 2022

The purpose of this study is to analyze and present keywords, trends, and language networks of keywords for each year of the pedagogical exam of the secondary teacher's employment exam for the 2019~2022 school year. The main research methods were text mining technique and language network analysis method, and analysis programs were KrKwic, Wordcloud Maker, Ucinet6, NetDraw, etc. The research results are as follows; First, keywords such as teacher, student, curriculum, class, and evaluation appeared in the top rankings, and keywords (online, wiki, discussion ceremony, information, etc.) that reflect the recent online class progress in the current COVID-19 situation also tended to appear. The keywords with high frequency of occurrence in the four-year integrated text were student(44), teacher(39), class(27), school(18), curriculum(16), online(10), and discussion method(8). Second, the overall language network of the keywords with high frequency of 4 years showed a significant level of density(0.566), total number of links(492), and average degree of links(16.4). The degree centrality was found in the order of teacher(199.0), class(197.0), student(185.0), and school(150.0). Betweenness centrality was found in the order of teacher(30.859), class(18.956), student(16.054), and school (15.745). It is expected that the results of this study will serve as data to be considered for preparatory teachers, institutions and related persons, and teachers and administrators of secondary school teacher training institutions.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1593-1596
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• 2000

자바는 설계 때부터 네트워크 상의 운영을 고려하여 설계된 언어이기 때문에 소켓 바인딩과 같은 기능을 제공하고 있고, 또한 TCP/IP 프로토콜과 URL 처리 기능을 제공하고 있는 HTTP(HyperText Transfer Protocol) 프로토콜을 동시에 처리할 수 있기 때문에 WWW 서비스를 연동하는 웹서버를 구축하는데 적합한 언어이다. 현재의 인터넷은 점차적으로 발전하여 수요는 급격히 증가하고 있으나, 많은 사용자로 인해 네트워크의 성능저하와 서버의 처리 능력 한계로 인하여 사용자의 수요를 충족시키지 못하고 있다. 본 논문에서는 인터넷을 이용한 네트워킹 프로그램에 있어 멀티쓰레드를 이용하여 응용프로그램을 작성하기 위한 쓰레드의 개요를 설명하고, 쓰레드를 활용한 풀을 구성하기 위한 제반 사항을 기술한다. 또한, 응용프로그램으로 동적 쓰레드, 서버 복제, 쓰레드 풀 웹 서버를 구현하여 성능을 분석한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.535-537
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• 2002

인터넷의 확산과 네트워크 기술의 발전에 따라 네트워크 메커니즘은 그 설계 및 이해가 더욱 복잡해져 가고 있고, 분산 시스템 환경에서의 역할과 중요성도 날로 더해져 가고 있다. 본 논문에서는 네트워크 메커니즘의 정확성 검증을 위한 정형검증 연구의 일환으로, Reactive system의 모델링 및 검증을 위해 개발된 정형검증 언어인 Esterel을 이용한 Abracadabra 프로토콜의 정형 검증을 통해, 통신 프로토콜에 대한 Esterel의 정형검증 능력을 분석하고 좀더 복잡한 통신 프로토콜에 대한 정형 검증의 적용 가능성을 타진하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.523-526
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• 2010

오늘날의 인터넷은 웹 2.0 의 출현으로 인하여 콘텐츠의 생산주체가 서비스 제공자에서 서비스 수요자인 사용자들로 변화되고 있다. 이에 따라 사용자들의 경험은 콘텐츠의 품질에 큰 영향을 미치고 있으며 소셜 네트워크에서 취득한 콘텐츠는 검색으로 취득한 콘텐츠보다 신뢰를 받고 있다. 본 논문에서는 소셜 네트워크를 기반으로 사용자들에게 양질의 콘텐츠를 추천하기 위한 방법과 그 개발을 보인다. 소셜 네트워크는 XML 기반의 사용자 프로파일 기술 언어인 FOAF 를 이용하여 수집하며 이를 통해 사용자와 사용자 사이의 관계를 수집한다. 그리고 웹 콘텐츠 출판언어인 RSS를 이용하여 각 사용자들이 블로그 등을 통해 배포한 콘텐츠를 수집한다. 본 논문에서 보이는 시스템은 FOAF 와 RSS 를 기초로 입력된 키워드에 대해 사용자와 콘텐츠의 관계를 분석하고 이를 통해 콘텐츠를 추천하는 기능을 가진다. 본 논문에서 보이는 시스템은 전통적인 콘텐츠 추천 시스템과 달리 사용자가 속한 소셜 네트워크에서 콘텐츠 생산자가 대한 중요도가 반영되므로 보다 신뢰성 있는 결과를 얻을 수 있다.