• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.447-450
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• 2019

본 논문은 한국어 문장의 감성 분류를 위해 문장의 형태소, 음절, 자소를 입력으로 하는 합성곱층과 DenseNet 을 적용한 Text Multi-channel DenseNet 모델을 제안한다. 맞춤법 오류, 음소나 음절의 축약과 탈락, 은어나 비속어의 남용, 의태어 사용 등 문법적 규칙에 어긋나는 다양한 표현으로 인해 단어 기반 CNN 으로 추출 할 수 없는 특징들을 음절이나 자소에서 추출 할 수 있다. 한국어 감성분석에 형태소 기반 CNN 이 많이 쓰이고 있으나, 본 논문에서 제안한 Text Multi-channel DenseNet 모델은 형태소, 음절, 자소를 동시에 고려하고, DenseNet 에 정보를 밀집 전달하여 문장의 감성 분류의 정확도를 개선하였다. 네이버 영화 리뷰 데이터를 대상으로 실험한 결과 제안 모델은 85.96%의 정확도를 보여 Multi-channel CNN 에 비해 1.45% 더 정확하게 문장의 감성을 분류하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1020-1023
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• 2010

소프트웨어 개발은 복잡도가 높고 가시성 확보가 어려워 전략적으로 접근해야 한다. 일반 개발 프로젝트에서 개발 전략은 특정 개발 모델과 프로젝트 관리 기법을 사용하겠다는 것이 주류를 이루고 있다. 이러한 방법은 각 개발 단계에서 업무를 진행하는 프로젝트 참여자가 프로젝트 전체를 보지 못하고 각자의 전문 분야만을 국지적으로 개발하여 초기에 의도된 대로 개발되지 않는 결과를 초래하는 경우가 다반사여서 개발 전략으로서의 역할을 적절히 수행하지 못하는 문제가 있다. 본 연구에서는 리스크 기반의 개발 전략을 제시한다. 개발 프로젝트 전체는 물론 개발의 각 단계 별로 전략이 존재할 수 있으며, 전사 차원과 프로젝트 차원의 전략이 존재한다. 분석한 리스크 레벨에 차등적으로 개발 리소스를 할당하고, 개발 기법을 사용하고, 리뷰 및 검증 활동을 진행하여 제한된 개발 리소스를 합리적이고 적절하게 사용하여 개발하고, 개발 과정을 모니터링 및 제어하는 접근법이다. 이미 개발의 일부인 테스팅 분야에서는 리스크 기반 테스팅 전략이라는 이름으로 활용하여 직간접적인 효과를 보고 있으며, 같은 개념을 개발 전체로 확장하여 개발 전략으로 체계화하여 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.878-880
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• 2022

COVID-19 상황 속에서도 전 세계 Twitter K-POP 콘텐츠 관련 트윗 양은 78억 건 이상으로 매년 성장세를 보인다. Twitter 내 K-POP 팬들은 아티스트 관련 해시태그를 포함한 트윗을 작성하여 같은 팬덤끼리 실시간으로 정보를 전달하고 생산한다. 이러한 맛집 트윗들은 K-POP 팬들이 Twitter 내에서 신뢰도 있는 맛집 정보를 얻는 용도로 사용된다. 하지만 팬들이 정보를 얻기 위해서는 여러 맛집 해시태그로 검색하고 리트윗 수가 많은 트윗을 직접 찾아야 한다. 기존의 맛집 추천 시스템은 서비스 제공자 중심의 구조를 띤다. 서비스 제공자가 일방적으로 정보를 전달하거나, 사용자 리뷰 갱신 간격이 길다는 한계가 존재한다. 본 논문에서는 Twitter 내 K-POP 맛집 해시태그가 포함된 트윗을 Twitter API와 Tweepy를 사용하여 크롤링하였다. 수집한 데이터의 좋아요 수와 리트윗 수를 바탕으로 데이터 필터링을 진행하여 bot user와 광고 계정이 제외된 맛집 관련 트윗을 추출한다. 최종적으로는 추출한 트윗의 정보를 마커로 표시하여 웹 사이트를 제작하였다. K-POP 팬들은 맛집 해시태그를 검색하여 일일이 찾을 필요 없이 웹 사이트에 방문하여 맛집 위치를 확인할 수 있다. 웹 사이트 사용자의 위치가 지도상에 표시되어 가까운 맛집을 찾기도 편리하다. 본 논문에서는 맛집의 위치를 서대문구로 한정하여 진행했다.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.10
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• pp.69-76
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• 2016

In this paper, an efficient image denoising method using non-local means (NL-means) method in the transform domain is proposed. Survey for various image denoising methods has been given, and the performances of the image denoising method using NL-means method have been analyzed. We propose an efficient implementation method for NL-means method by calculating the weights for NL-means method in the DCT and LiftLT transform domain. By using the proposed method, the computational complexity is reduced, and the image denoising performance improves by using the characteristics of images in the tranform domain efficiently. Moreover, the proposed method can be applied efficiently for performing image denoising and image rescaling simultaneously. Extensive computer simulations show that the proposed method shows superior performance to the conventional methods.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.275-281
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• 2017

Human endogenous retroviruses (HERVs) are fossil viruses that began to be assimilated into the human genome some 30~40 million years ago, and now constitute nearly 8% of the human genome. These ancient retroviruses have since accumulated mutations that have rendered them defective; thus, they have been termed junk DNA. However, recent research indicates that not all HERVs remain silent passengers. Although they have not been shown to be causative of any human disease, endogenous retroviral sequences may become expressed under select pathological circumstances such as neurological disorders, including multiple sclerosis (MS), schizophrenia, and Amyotrophic Lateral Sclerosis (ALS); viral infections, including human immunodeficiency virus (HIV) and herpesvirus; and multiple types of cancers. This review focused on the possible interactions of HERVs and neurological diseases.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.5-24
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• 2022

As a new academic publication model is attempted to improve the transparency, efficiency, and speed of scientific knowledge production and distribution, the open peer review platform for verification and openness of peer review history is also activated. Publons is a global platform for tracking, validating, disclosing, and recognizing the peer-reviewed histories of more than 3 million researchers worldwide. This study analyzed the review activities of 579 researchers from domestic universities who are actively reviewing international journals through Publons. As a result of the analysis, first, researchers from domestic universities who actively review international academic journals were found to be in the fields of medicine and electrical and electronics, and in most fields, assistant professors or higher with high WOS indexed research papers are participating. Second, there was a long-tail phenomenon in which a small number of reviewers with extremely high number of review papers existed in all academic fields, and there was no significant difference in the number of review papers and review report length depending on the nationality, academic status, and age of the reviewers. Lastly, although there was a weak correlation between the amount of papers reviewed by reviewers and the number of published papers, it was found that researchers with an extremely large number of reviews do not necessarily produce as many research papers.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.121-133
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• 2015

This tutorial presents an approach to perform the covariance based structural equation modeling using the R. For this purpose, the tutorial defines the criteria for the covariance based structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "lavaan" which is the R package supporting the covariance based structural equation modeling. In this tutorial, a covariance-based structural equation modeling technique using the R and the R scripts targeting the example model were proposed as the results. This tutorial will be useful to start the study of the covariance based structural equation modeling for the researchers who first encounter the covariance based structural equation modeling and will provide the knowledge base for in-depth analysis through the covariance based structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the covariance based structural equation modeling.

• Journal of Gifted/Talented Education
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• v.22 no.1
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• pp.87-115
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• 2012

This study is about the development of an identification model for artistically gifted students from low income and/or multi-cultural families. Given that parental support at early ages is crucial for talent development, students from low income families are often dismissed in recognizing their artistic giftedness. Based on a comprehensive literature review and consultations with experts in art, the SMC model was developed to identify disadvantaged gifted students in the areas of music, visual arts, and ballet. The model consists of three steps of identification, such as review of documents and teacher recommendations, evaluations of artistic giftedness, and a summative evaluation, and involves multiple criteria for identifying giftedness in both domain general and domain specific arts. SMC is promising in discovering many unrecognized disadvantaged children of artistic potential, thereby using various quantitative and qualitative measures. Yet, issues of validity and reliability of SMC need to be substantiated by subsequent theoretical and empirical studies.