• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.243-244
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• 2017

본 연구에서는 선박 초기 화재 대응을 위한 소화기 가상 훈련에 대한 제안을 한다. 가상 훈련 구현 요소로써 장비 기반 상호작용 및 설명 텍스트 시각화를 제안하고 이에 대한 시스템적 구현을 보인다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.38-39
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• 2005

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.655-657
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• 1999

본 논문에서는 1차원 스트링과 2차원 텍스트를 유동적으로 정렬하는 소위 1-2차 연성 정렬 문제를 정의하고, 이 문제를 위한 동적 알고리즘을 제시하고, 응용 예를 보인다. 문제의 패턴은 그 길이가 주어져 있지만 그 형체가 유연성을 갖고 있어 변형될 수 있다는 점이 지금까지 연구되어온 패턴 매칭 문제와 다르다.

• Information Systems Review
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• v.23 no.3
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• pp.159-176
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• 2021

Obviating user churn is a prominent strategy to capitalize on online games, eluding the initial investments required for the development of another. Extant literature has examined factors that may induce user churn, mainly from perspectives of motives to play and game as a virtual society. However, such works largely dismiss the service aspects of online games. Dissatisfaction of user needs constitutes a crucial aspect for user churn, especially with online services where users expect a continuous improvement in service quality via software updates. Hence, we examine the relationship between a game's quality management and its user base. With text mining and survival analysis, we identify complaint factors that act as key predictors of user churn. Additionally, we find that enjoyment-related factors are greater threats to user base than usability-related ones. Furthermore, subsequent quasi-experiment shows that improvements in the complaint factors (i.e., via game patches) curb churn and foster user retention. Our results shed light on the responsive role of developers in retaining the user base of online games. Moreover, we provide practical insights for game operators, i.e., to identify and prioritize more perilous complaint factors in planning successive game patches.

• Korean Journal of Environmental Biology
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• v.41 no.4
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• pp.413-426
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• 2023

Species distribution model (SDM) is used to preserve biodiversity and climate change impact. To evaluate biodiversity, various studies are being conducted to utilize and apply SDM. However, there is insufficient research to provide useful information by identifying the current status and recent trends of SDM research and discussing implications for future research. This study analyzed the trends and flow of academic papers, in the use of SDM, published in academic journals in South Korea and provides basic information that can be used for related research in the future. The current state and trends of SDM research were presented using philological methods and text-mining. The papers on SDM have been published 148 times between 1998 and 2023 with 115 (77.7%) papers published since 2015. MaxEnt model was the most widely used, and plant was the main target species. Most of the publications were related to species distribution and evaluation, and climate change. In text mining, the term 'Climate change' emerged as the most frequent keyword and most studies seem to consider biodiversity changes caused by climate change as a topic. In the future, the use of SDM requires several considerations such as selecting the models that are most suitable for various conditions, ensemble models, development of quantitative input variables, and improving the collection system of field survey data. Promoting these methods could help SDM serve as valuable scientific tools for addressing national policy issues like biodiversity conservation and climate change.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..

• Journal of Popular Narrative
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• v.27 no.1
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• pp.265-299
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• 2021

The purpose of this research paper is to facilitate the understanding of the synesthetic aesthetics in the film The Age of Innocence through the intertextuality among the narrative, paintings, and music in the film. In this paper, a two-dimensional intertextual analysis of the paintings in relation to the narrative is conducted on the paintings owned by Old New York, the paintings owned by Ellen, the portraits of unknown artists on the street outside of Parker House, and Rubens' painting at the Louvre. A three-dimensional intertextual analysis of performances in relation to the narrative is conducted on the stages and the box seats at the New York Academy of Music, in which Charles F. Gounod's Faust is performed, and the Wallack's Theatre, in which Dion Boucicault's The Shaughraun is performed. An intertextual analysis of music in relation to the narrative is also conducted on the diegetic and non-diegetic classical music of the film, including Beethoven's Piano Sonata No. 8 and Mendelssohn's String Quintet No. 2, as well as Elmer Bernstein's non-diegetic music of the film. The constituent event of The Age of Innocence represents the passion trapped in the reflection of love and desire that are not lasting, and the supplementary event embodies the narrow viewpoint and the inversion of values caused by the patriarchal authority of Old New York. The characters in the film live a double life, presenting an unaffected surface and concealing the problems behind it. The characters restrain their emotions at both the climax and the ending. The most powerful aspect of the film is the type and nature of oppressive life, which are more delicately described with the help of paintings and music, as there is a limit to describing them only by acting. In intertextual terms, paintings and music in The Age of Innocence continuously emphasize "feeling of emotions that cannot be expressed in language." With a synesthetic image, as if each part were imprinted on the previous part, the continuity "responds to continuous camera movements and montage effects." In The Age of Innocence, erotic dynamism brings dramatic excitement to the highest level, switching between the satisfaction of revealing desire and the disappointment of hiding desire due to its taboo status. This is possible because paintings and music related to the narrative have made aesthetic achievements that overcome the limitations of two-dimensional planes and limited frames. The significance of this study lies in that, since the identification in The Age of Innocence is based on the establishment of a synesthetic aesthetic through audio-visual representation of the film narrative, it helps us to rediscover the possibility of cinematic aesthetics.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.51-64
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• 2014

It becomes more and more important for business survival to have the ability to predict the future with uncertainties increasing faster and faster. To predict the future, text mining tools are one of the main candidate other than traditional quantitative analyses, but those efforts are still at their infancy. This paper is to introduce one of those efforts using the case of company "P" in the steel industry. Even with only four month pilot studies, we found strong possibilities, if not testified robustly, to predict future industrial trends using text mining tools. For these text mining case studies, we categorized steel industry trend keywords into ten components (10 categories) to study ten different subjects for each category. Once found any meaningful changes in a trend, we had investigated in more detail what and how some trend happened so. To be more roust, firstly we need to define more cleary the purpose of text mining analyses. Then we need to categorize industry trend key words in a more systematic way using systems thinking models. With these improvements, we are quite sure that applying text mining tools to analyzing industry trends will contribute to predicting the future industry trends as well as to identifying the unseen trends otherwise.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.2
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• pp.89-96
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• 2015

Location-based social media data have high potential to be used in various area such as big data, location based services and so on. In this study, we applied a series of analysis methodology to figure out how the important keywords in location-based social media are spatially distributed by analyzing text information. For this purpose, we collected tweet data with geo-tag in Gangnam district and its environs in Seoul for a month of August 2013. From this tweet data, principle keywords are extracted. Among these, keywords of three categories such as food, entertainment and work and study are selected and classified by category. The spatial clustering is conducted to the tweet data which contains keywords in each category. Clusters of each category are compared with buildings and benchmark POIs in the same position. As a result of comparison, clusters of food category showed high consistency with commercial areas of large scale. Clusters of entertainment category corresponded with theaters and sports complex. Clusters of work and study showed high consistency with areas where private institutes and office buildings are concentrated.

• Journal of Wetlands Research
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• v.23 no.4
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• pp.364-371
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• 2021

Public awareness of alien species can vary by generation, period, or specific events associated with these species. An understanding of public awareness is important for the management of alien species because differences in public awareness can affect the establishment and implementation of management plans. We analyzed digital texts on social media platforms, news articles, and internet search volumes used in conservation culturomics to understand public interest and sentiment regarding alien freshwater species. The number of tweets, number of news articles, and relative search volume to 11 freshwater alien species were extracted to determine public interest. Additionally, the trend over time, seasonal variability, and repetition period of these data were confirmed. We also calculated the sentiment score and analyzed public sentiment in the collected data using sentiment analysis based on text mining techniques. The American bullfrog, nutria, bluegill, and largemouth bass drew relatively more public interest than other species. Some species showed repeated patterns in the number of Twitter posts, media coverage, and internet searches found according to the specified periods. The text mining analysis results showed negative sentiments from most people regarding alien freshwater species. Particularly, negative sentiments increased over the years after alien species were designated as ecologically disturbing species.