• Journal of Korea Game Society
• /
• v.18 no.2
• /
• pp.99-108
• /
• 2018

With the development of the game industry, 'games about games,' which examine the identity of game itself through a form of the game, emerged with a variety of shapes. Thus, this paper aims to suggest a definition, characteristics, and meaning of 'meta game.' Firstly, meta games strengthen the artificiality of the games and suggest procedurality through a form of the game play. Meta games also utilize the external context as a part of the games, and use the metaphor of 'labyrinth' to identify a feature of the game space. Furthermore, they emphasize intertextuality and prove that the fantasy and the reality can merge within the game world. In conclusion, meta games prove themselves to be independent expressional arts and experimental content, and suggest the potential for an alternative medium beyond formality.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.3 s.31
• /
• pp.56-64
• /
• 2006

The current disaster management manual is being utilized as a book or document-based type. It causes a low applicability and interoperability in practical business because each information has a different document format and it is difficult to recycle those information as common disaster information. The information reading by text type without electronic data and visual object also has a limitations in guaranteeing a quickness of disaster management business. Accordingly, the electronic document management system with visual information is necessary and the system needs to tie framed by XML schema because the electronic document standard will be changed from DTD to XML schema. This study attempts to develop a procedural methodology of an electronic document management system based on XML for disaster management. The applicability of the proposed results is verified by the simulated scenario.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06c
• /
• pp.332-335
• /
• 2007

이메일은 누구나 쉽게 정보를 교환할 수 있는 편리함 때문에 인터넷에서 가장 중요한 수단으로 사용되고 있다. 그러나 순수한 의사소통의 수단이 아닌 스팸메일의 범람은 성인뿐만 아니라, 어린이 청소년에게도 무차별적으로 전송됨으로써 심각한 부작용을 낳고 있다. 본 논문은 점차 지능화 되는 신 유형의 음란 스팸메일로부터 청소년을 보호하기 위하여 새로운 방법의 음란메일 차단시스템을 제안하고자 한다. 기존의 스팸메일 차단시스템은 사용자가 직접 음란한 메일이라고 판단되는 메일에 대해 일일이 키워드를 설정하거나, 메일 내용 중에 텍스트만을 추출하여 패턴 매칭방법으로 분류하는 것이 대부분이었지만, 본 논문은 기존 방법의 문제점을 해결하기 위하여 이미지 내 Skin-Color분포의 Human Detection 알고리즘과 웹 로봇 에이전트의 하이퍼링크 분석기법을 사용하였다. 성능 측정결과, 형태소 분석과 Human Detection 알고리즘을 병합하여 적용한 경우 성능 측정에서 90% 정도의 F-measure를 보였지만, 추가적으로 웹 로봇 에이전트의 하이퍼링크 분석기법을 병합하여 적용한 경우 97% 이상의 F-measure를 보이며, 신뢰성이 높은 음란스팸메일 차단 시스템을 구현할 수 있다는 것을 증명하였다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.25 no.3
• /
• pp.39-51
• /
• 2020

This study will examine the social issues and consumer awareness of sharing parking through the method text mining. In this experiment, the topic by keyword was extracted and analyzed using TFIDF (Term frequency inverse document frequency) and LDA (Latent dirichlet allocation) technique. As a result of categorization by topic, citizens' complaints such as local government agreements, parking space negotiations, parking culture improvement, citizen participation, etc., played an important role in implementing shared parking services. The contribution of this study highly differentiated from previous studies that conducted exploratory studies using corporate and regional cases, and can be said to have a high academic contribution. In addition, based on the results obtained by utilizing the LDA analysis in this study, there is a practical contribution that it can be applied or utilized in establishing a sharing economy policy for revitalizing the local economy.

• Journal of Korea Multimedia Society
• /
• v.13 no.2
• /
• pp.308-315
• /
• 2010

User Generated contents(UGC) interchange with internet users actively in Web2.0 environment. According to growth of content sharing site, the number of non-expert's contents increased. But non-expert's contents have a simple media just recorded. For providing actual feeling like effects and actions to non-expert's contents, we suggest Fusion Media Middleware(FMM). The FMM can increase user satisfaction by providing actual feeling. Furthermore, The content changes advanced media that has emotional impression. The FMM for providing actual feeling classify the inputted media as a scene based on MPEG-7. The FMM provide an actual feeling to simple media by inserting effects like a sound, image and text among the classified media. Using the BSD code of MPEG-21, the FMM can link up with inputted media and effects. Through the mapping BSD code the FMM control synchronization between media and effects. In this paper, Using the Fusion Media Middleware, the non-expert's contents express value as multimedia that has an actual feeling. Futhermore, the FMM creates flow of new media circulation.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.4 no.5
• /
• pp.1051-1066
• /
• 2000

According to the recent advances of digital encoding technologies and computing power, large amounts of multimedia informations such as image, graphic, audio and video are fully used in multimedia systems through Internet. By this, diverse retrieval mechanisms are required for users to search dedicated informations stored in multimedia systems, and especially it is preferred to use contents-based retrieval method rather than text-type keyword retrieval method. In this paper, we propose a new contents-based indexing and searching algorithm which aims to get both high efficiency and high retrieval performance. To achieve these objectives, firstly the proposed algorithm classifies images by a pre-processing process of edge extraction, range division, and multiple filtering, and secondly it searches the target images using spatial and textural characteristics of colors, which are extracted from the previous process, in a image. In addition, we describe the simulation results of search requests and retrieval outputs for several images of company's trade-mark using the proposed contents-based retrieval algorithm based on wavelet.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.11
• /
• pp.2043-2051
• /
• 2017

Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value.

• Korean journal of communication and information
• /
• v.37
• /
• pp.73-99
• /
• 2007

The study's purpose is to present model for constructing of media education's curriculum. The concept and goal of media education have changed by various media education's paradigm historically. Also this changed the content and the goal of the media education. Curriculum model of media education is various by the nation. AS so the study analyzed the media education's curriculum model to be applying in USA, United British, German, Australia, Canada. Through this, the model for constructing of media education' curriculum is presented. The curriculum model helps to be executed systematically media education in Korea. According to the result, The model is composed of the goal and content. The goal of media education is composed of media knowledge, media appreciation, media analyze, media production. The content of media education is composed of Media, Text, User.

• Journal of the Korea Convergence Society
• /
• v.6 no.6
• /
• pp.87-93
• /
• 2015

Advertisements in modern era are not intended to be consumed only as commercial purposes, but consumed also as cultural and artistic purposes. Advertising contents' success depends on Semiotic codes revealed in advertising texts. Advertising scholar Ozoh (1998) argued that perspectives for advertising are divided into two perspective, one as marketing tool perspective and the other as communication processes perspective. Advertising planning, advertising management, advertising, and advertising evaluation of marketing perspective are significantly different from those of communication perspective. Two perspectives of advertising present various debates on what contents of advertising messages are and how advertising messages are made up. In this research manuscripts, we discuss story telling as communication tool of advertising text in terms of cultural semiotics. That is, meaning value of goods is so well revealed in use value of goods that they satisfy consumers' needs, we analyze how they satisfy consumers' needs in semiotic(symbolic) process. We apply Gremas's semantic model to coffee advertisements in France and Korea, and analyze various differences between differentiation strategies of French coffee advertisements and those of Korean coffee advertisements in terms of semiotic perspective.

• The KIPS Transactions:PartB
• /
• v.13B no.5 s.108
• /
• pp.541-546
• /
• 2006

Data Mining is the process of finding hidden patterns inside a large data set. Cluster analysis has been used as a popular technique for data mining. It is a fundamental process of data analysis and it has been Playing an important role in solving many problems in pattern recognition and image processing. If fuzzy cluster analysis is to make a significant contribution to engineering applications, much more attention must be paid to fundamental decision on the number of clusters in data. It is related to cluster validity problem which is how well it has identified the structure that Is present in the data. In this paper, we design an adaptive data mining model using fuzzy performance measures. It discovers clusters through an unsupervised neural network model based on a fuzzy objective function and evaluates clustering results by a fuzzy performance measure. We also present the experimental results on newsgroup data. They show that the proposed model can be used as a document classifier.