• 정보관리학회지
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• 제26권2호
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• pp.7-25
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• 2009

본 연구는 미국 공공도서관의 이민자 대상 서비스를 1900년대 초와 현재로 나누어 분석 비교하였다. 1900년대 초의 미국 공공도서관은 영어강좌를 개설하고 미국 시민으로서 갖추어야 할 정보들을 제공함으로써 미국화 운동에 앞장섰다. 공공도서관 사서들은 또한 외국어 자료의 중요성을 인식하였다. 외국어 자료의 제공과 이민자를 위한 다양한 서비스의 개발은 결국 이민자들이 미국 사회에 동화되는 것을 촉진시켰다. 100년이 흐른 지금도 상황은 크게 달라지지 않았다. 공공도서관들은 여전히 이민자들의 영어 교육에 중점을 둔 채, 포괄적인 외국어 자료 장서와 문화적으로 다양한 도서관 프로그램으로 각기 다른 나라에서 온 이민자들에게 서비스를 제공하려 노력하고 있다.

• 한국정보통신학회논문지
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• 제9권3호
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• pp.555-560
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• 2005

최근 디지털 컨텐츠에 대한 무분별한 저작권 기술개발로 인해 컨텐츠 제공자와 소비자들 사이에 호환성, 컨텐츠 보호, 컨텐츠 유통 등의 문제가 야기되고 있다. 따라서 MPEG(Moving Picture Expert Group)-21 프레임워크는 저작권 관리를 위해 XML(extensible Markup Language)에 기반한 저작권 표현 언어인 REL(Right Expression Language)을 제안하였다. 이에 본 논문에서는 MPEG-21 프레임워크의 이해 없이도 쉽게 컨텐츠에 대해 효율적으로 저작권 생성 및 편집이 가능한 REL 문서 편집 시스템과 REL 문서의 소비 방법을 제시하는 클라이언트 시스템을 설계 및 구현하였다.

• 보건행정학회지
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• 제30권1호
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• pp.15-25
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• 2020

While healthcare data sets include extensive information about patients, many researchers have limitations in analyzing them due to their intrinsic characteristics such as heterogeneity, longitudinal irregularity, and noise. In particular, since the majority of medical history information is recorded in text codes, the use of such information has been limited due to the high dimensionality of explanatory variables. To address this problem, recent studies applied word embedding techniques, originally developed for natural language processing, and derived positive results in terms of dimensional reduction and accuracy of the prediction model. This paper reviews the deep learning-based natural language processing techniques (word embedding) and summarizes research cases that have used those techniques in the health care field. Then we finally propose a research framework for applying deep learning-based natural language process in the analysis of domestic health insurance data.

• Journal of Information Technology Applications and Management
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• 제21권3호
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• pp.65-77
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• 2014

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.

• 대한안전경영과학회지
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• 제24권4호
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• pp.9-14
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• 2022

The purpose of this study is to verify the mediating effect of Korean language ability on the effect of marriage immigrants' safety education attitude on safety awareness. A survey was conducted on marriage immigrants living in the Daejeon and Chungcheong regions, and the responses of 109 people were used for the analysis. After controlling for gender, nationality, age, educational background, period of stay, region of residence, and presence or absence of safety accidents, the analysis was performed according to the step-by-step approach of Baron and Kenny(1986). In order to verify the statistical significance of the mediating effect of Korean proficiency, the Sobel test was conducted. As a result of the study, it was confirmed that marriage immigrants' safety education attitude had a significant positive (+) effect on safety awareness, and Korean language ability had a partial mediating effect on the relationship between marriage immigrants' safety education attitude and safety awareness.

• 한국식생활문화학회지
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• 제24권3호
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• pp.286-294
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• 2009

The purpose of this study was to determine whether foodservice brand language localization affects consumer attitudes in terms of similar brand image recognition with an original brand. Many global foodservice companies have tried to modify their own brand identity according to local situations in order to attract more consumers. According to this study's results, consumers who similarly recognized both the original brand image and localization brand image tended to have greater purchase intention than those who did not recognize them similarly. In addition, when the original brand identity was changed to the local language, consumers more similarly conceived the original brand image and localization. And for local store marketing, foodservice companies should have a thorough marketing research plan since there can be difference results according to brand name recognition gaps or demographic characteristics. Original brand image similarity recognition by consumers affected their attitudes. In other words, the group that similarly recognized both the original brand company image and the localization brand company image tended to have greater purchase intention. Because brand language plays an important role in consumer attitudes with respect to recognizing a brand and distinguishing another brand, this study suggests that franchise foodservice companies have a local store marketing plan.

• 스마트미디어저널
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• 제13권6호
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• pp.35-43
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• 2024

During the post-pandemic period, the interest in foreign language learning surged, leading to increased usage of language-learning apps. With the rising demand for these apps, analyzing app reviews becomes essential, as they provide valuable insights into user experiences and suggestions for improvement. This research focuses on extracting insights into users' opinions, sentiments, and overall satisfaction from reviews of HelloTalk, one of the most renowned language-learning apps. We employed topic modeling and emotion analysis approaches to analyze reviews collected from the Google Play Store. Several experiments were conducted to evaluate the performance of sentiment classification models with different settings. In addition, we identified dominant emotions and topics within the app reviews using feature importance analysis. The experimental results show that the Random Forest model with topics and emotions outperforms other approaches in accuracy, recall, and F1 score. The findings reveal that topics emphasizing language learning and community interactions, as well as the use of language learning tools and the learning experience, are prominent. Moreover, the emotions of 'admiration' and 'annoyance' emerge as significant factors across all models. This research highlights that incorporating emotion scores into the model and utilizing a broader range of emotion labels enhances model performance.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.157-163
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• 2005

Nowadays, the web service was based on composing the e-business and distributed computing environment. But existing workflow management systems have many problems with the interoperability between companies because they are made before most web services. For these problems, the workflow based composition language such as the Business Process Execute Language for Web Services (BPEL4WS or BPEL) appeared in expressing the web service composition. In this paper, we present an event based rule management system architecture that executes automatically the BPEL using the Event-Condition-Action (ECA) rules. The event based rule management system consists of the event manager, rule manager, and Jess. The Jess is the part of executing and deciding the condition.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1989년도 추계학술발표회 발표논문초록집; 이화여자대학교, 서울; 23 Sep. 1989
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• pp.137-138
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• 1989

• 건설관리
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• 제20권2호
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• pp.62-66
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• 2019