• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.1-10
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• 2021

This study empirically confirmed 'the political bias of the YouTube recommendation algorithm' and 'the selective exposure of user' to verify the Filter Bubble phenomenon of YouTube. For the experiment, two new YouTube accounts were opened and each account was trained simultaneously in a conservative and a liberal account for a week, and the "Recommended" videos were collected from each account every two days. Subsequently, through the text mining method, the goal of the research was to investigate whether conservative videos are more recommended in a righties account or lefties videos are more recommended in a lefties account. And then, this study examined if users who consumed political news videos via YouTube showed "selective exposure" received selected information according to their political orientation through a survey. As a result of the Text Mining, conservative videos are more recommended in the righties account, and liberal videos are more recommended in the lefties account. Additionally, most of the videos recommended in the righties/lefties account dealt with politically biased topics, and the topics covered in each account showed markedly definitive differences. And about 77% of the respondents showed selective exposure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.1
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• pp.103-109
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• 2009

We build the web document recommending agent system which offers a certain amount of web documents to each user by monitoring and learning the user's action of web browsing. We also propose a method of query expansion using the Korean thesaurus. The queries to search for new web documents generate a candidate set using the Korean thesaurus. We extract the words which are mostly correlated with the queries, among the words in the candidate set, by using TF-IDF and mutual information. Then, we expand the query. If we adopt the system of query expansion, we can recommend a lot of web documents which have potential interests to users. We thus conclude that the system of query expansion is more effective than a base system of recommending web-documents to users.

• Journal of Gifted/Talented Education
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• v.23 no.5
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• pp.835-855
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• 2013

The purpose of this study was to investigate the predictive validity of behaviroal characteristics checklists that are widely used in Korea for identifying mathematically gifted students. Three most widely used checklists were selected and implemented to classroom teachers who could teach and observe gifted students in regular classes. The predictive validity of the tree checklists were explored by generating the correlations between their ratings using those three checklists and the performance levels of gifted students, which were measured by teachers in gifted classes. Findings of this study are the followings: First, all three checklists could statistically significantly predict the performance of gifted students in gifted programs, and the checklist B showed the highest predictability. Secondly, without the assistance by those checklists, teachers could not predict the performance level of gifted students. Lastly, teachers that were trained for educating gifted students could very effectively predict the performance of gifted students with the aid of those checklists while teachers without appropriate training could not at all even with the aid of those checklists.

• Plant Journal
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• v.9 no.4
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• pp.31-36
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• 2013

In order to extend a hot gas parts replacement cycle of a gas turbine, blade row 1 from low pressure turbine, which has a significant impact on the cycle, has been selected from stored set after one cycle use. Taking into account the status of the first stage moving blade in LP turbine operated more than 27,000 equivalent operating hours(EOH) and the replacement cycle in the same type of gas turbine, the replacement of the high temperature components installed on the GT, a study subject, can be extended from 24,000 to 27,000 EOH.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1499-1506
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• 2017

The use of smartphones and the launch of various apps have increased exponentially, and malicious apps have also increased. Existing app recommendation systems have been limited to operate based on static information analysis such as ratings, comments, and popularity categories of other users who are online. In this paper, we first propose a robust app recommendation system that realistically uses dynamic information of apps actually used in smartphone and considers static information and dynamic information at the same time. In other words, this paper proposes a robust Android app recommendation system by partially reflecting the time of the app, the frequency of use of the app, the interaction between the app and the app, and the number of contact with the Android kernel. As a result of the performance evaluation, the proposed method proved to be a robust and efficient app recommendation system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.401-404
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• 2010

Researches on prodigies and education for those have recently been progressing in many fields. Education for the gifted, which was basically on Math and Science on the start, now includes Intelligence, Invention, Cultural Sciences, Art, and so on. With the progression towards extremely developed information society, interests in and importance on the courses for the talented get more and more focused. The problem is, however, choosing the gifted and educating them is not an easy matter, since the history of Intelligence Technology is relatively short and it is hard to identify prodigies and categorize what kinds of courses they need. Also, from 2010 "Science Education Institute for the Gifted" freshmen draft, paper-based admission test has been discarded and teacher-recommendation through long-term observation introduced. Therefore needs have been increasing for quality selection methods including observation records, recommendation letters, and portfolios. Reformation on teaching and creative selection methods has been accentuated because of lack of academic base for selecting candidates for education for the gifted. Because of all those mentioned above, reliances for the selection processes during the last three years and the one in 2010, observation records, recommendations and portfolios included, have been analyzed and evaluated. Several factors which can be used instead of paper-based tests were coordinated. Based on it, it was highly possible and has been successful to draft all the applicants in cognitive, sentimental, and creative fields.

• Journal of Information Technology Application
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• v.3 no.1
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• pp.77-89
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• 2001

인터넷의 급속한 확산과 보급으로 인하여 인터넷에서 접할 수 있는 정보의 양은 기하급수적으로 늘어나고 있다. 따라서 오늘날 인터넷에서의 정보검색은 쉬운 일이 아니며, 사용자를 대신해 여러 사이트로부터 정보를 수집하고 걸러주는 에이전트의 역할이 증대되고 있다. 본 논문에서는 에이전트를 이용한 적응형 정보 추천 시스템(ARS ; Adaptive Information Recommendation System)을 제안한다. ARS는 에이전트를 이용하여 여러 사이트로부터 정보를 수집하고 통합하며, 사용자가 관심을 가지는 정보만을 제공함으로써 정보검색을 위한 사용자의 시간과 노력을 최소화하고자 한다. 이를 위하여 수집 에이전트를 이용하여 여러 사이트로부터 주기적으로 정보를 수집하여 데이터베이스에 저장하며, 수집된 정보는 사용자 프로파일을 이용하여 사용자가 관심을 가지는 정보만을 제공한다. 사용자 프로파일은 제공된 정보에 대한 사용자의 행위를 관찰하여 수정되며, 이러한 작업을 반복함으로써 점차 사용자의 취향에 적응하게 되어, 보다 적절한 정보만을 사용자에게 제공할 수 있게 된다.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1987.05a
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• pp.13.2-14
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• 1987

후두 악성종양의 치료로서 후두전적출술을 시행하는 경우 환자는 의사 전달수단인 언어의 장애를 동반하게 된다. 후두전적출술후 언어장애를 해결하기 위해 여러종류의 음성재활법이 제시되어 만족할 만한 결과를 얻고 있으나 그중 식도발성은 대부분의 학자들이 인정하는 가장 추천할 만한 방법이지만 시간이 걸리고 배우기가 어려워 환자들이 쉽게 단념할 수 있다는 단점이 있다. 저자들은 후두전적출술을 받은 10명의 환자에서 인두식도분절을 fluoroscopy로 관찰하여 다음과 같은 결과를 얻었기에 보고하는 바이다. 1) 식도발성을 잘하는 예에서는 pseudoglottis의 전후길이가 좌우길이보다 길었고 식도발성을 못하는 9례에서는 좌우길이가 전후길이보다 크거나 길었다. 2) 식도발성을 못하는 9례중 7례에서 인두식도 분절을 관찰할 수 있었다. 3) 인두식도분절에서 pseudoglottis의 모양이 식도발성을 잘하는 예에서는 정상성대와 유사하게 나타났다. 4) 식도발성을 잘하는 예에서는 pseudoglottis의 위치가 윤상인두괄약근 상방 2cm부위에서 관찰되었으며 식도발성을 못하는 9례중 6례에서는 pseudoglottis의 위치가 윤상인두괄약근 위치였으며 2례에서는 pseudoglottis가 각각 윤상인두괄약근상방 1cm, 1.5cm에 있었다.

• Environmental Analysis Health and Toxicology
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• v.20 no.4 s.51
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• pp.359-363
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• 2005

ESS (Embryo and sac-try stage) 독성 시험에서 시험어종으로서의 국내토착종인 왜몰개 (Aphyocypris chinensis)의 적용성을 평가하기 위하여 아연(Zn)을 사용하여 국제적인 추천시험 어종인 송사리(Oryzais latipes)와 감수성을 비교하였다. 시험기간은 대조군에서 아사가 관찰되는 시기 즉, 왜몰개는 수정 후 8일, 송사리는 수정 후 16일로 하였으며, 시험기간 동안 수정란의 부화율, 수정란 및 난황단계의 치어(sar-fry)의 사망률, 형태적인 발달, 치어의 성장 등을 관찰 및 측정하였다. 두 종 모두 수정란의 생존율에 아연의 영향을 받았으며, LOEC는 모두 14.5 mg/L이었다 난황단계 치어의 사망률을 관찰한 결과, 왜몰개는 1.4mg/L부터 급격히 증가된 반면에 송사리는 14.5mg/L에서 $100\%$사망률이 관찰되었다. 시험물질에 노출된 왜몰개와 송사리 모두 척추변형이 관찰되었으며, 체장을 측정한 결과는 왜몰개가 송사리에 비해 민감하게 반응하는 것으로 나타났다. 위와 같은 결과들은 종합해 볼 때, ESS독성시험에서 왜몰개가 대체 시험어종으로서 사용될 수 있는 가능성을 보여주었다

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.189-199
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• 2009

The amount of information on the Web is explosively growing as the Internet gains in popularity. However, only a small portion of the information on the Web is truly relevant or useful to the user. Thus, offering suitable information according to user demand is an important subject in information retrieval. In e-commerce, the recommender system is essential to revitalize commercial transactions, raise user satisfaction and loyalty towards the information provider. The existing recommender systems are mostly based on user data collected at servers, so user data are dispersed over several servers. Therefore, web servers that lack sufficient user behavior data cannot easily infer user preferences. Also, if the user visits the server infrequently, it may be hard to reflect the dynamically changing user's interest. This paper proposes a novel personalization system analyzing the user preference based on web documents that are accessed by the user on a user device. The system also identifies non-content blocks appearing repeatedly in the dynamically generated web documents, and adds weight to the keywords extracted from the hyperlink sentence selected by the user. Therefore, the system establishes at an early stage recommendation strategies for the web server that has little user data. Also, user profiles are generated rapidly and more accurately by identifying the information blocks. In order to evaluate the proposed system, this study collected web data and purchase history from users who have current purchase activity. Then, we computed the similarity between purchase data and the user profile. We confirm the accuracy of the generated user profile since the web page containing the purchased item has higher correlation than other item pages.