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Institution

Naver Corporation

CompanySeongnam-si, South Korea
About: Naver Corporation is a company organization based out in Seongnam-si, South Korea. It is known for research contribution in the topics: Terminal (electronics) & Computer science. The organization has 4038 authors who have published 4294 publications receiving 35045 citations. The organization is also known as: NAVER Corporation & NAVER.


Papers
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Patent
30 Aug 2012
TL;DR: In this paper, a system and method for providing ranking information of a mobile application using information obtained from a user terminal is presented, where the ranking is based on statistics of use information.
Abstract: Provided is a system and method for providing ranking information of a mobile application using information obtained from a user terminal. A server for providing ranking information of an application on the Internet may include a collecting unit to collect, with regard to at least one first application installed in a communication terminal, at least one of use information indicating a position of an icon of the first application on a wallpaper, that is, an application managing interface of the communication terminal, and use information indicating the first application currently being executed in the memory of the communication terminal; and a providing unit to provide a ranking of the first application based on statistics of use information.

27 citations

Journal ArticleDOI
TL;DR: Introducing GVL to conventional intubation education for novice users could increase the satisfaction of trainees during the procedure, especially as a way to understand critical anatomical structures.
Abstract: The aim of this study is to evaluate the usefulness of the GlideScope video laryngoscope (GVL) as a tool to educate novice users in conventional tracheal intubation. 41 premedical students with no previous experience in tracheal intubation participated in this prospective, randomised and controlled study. Group M (n = 20) was instructed in tracheal intubation by using the Macintosh laryngoscope and group G (n = 21) was instructed by using both the GVL and the Macintosh laryngoscope. There was no significant difference in tracheal intubation performance using the Macintosh laryngoscope between the two groups. However, the GVL facilitates the education of tracheal intubation because it shows the same anatomical structure for both instructor and trainee simultaneously on a real-time basis. This aspect makes the trainee feel more comfortable learning the material with a high degree of satisfaction. Introducing GVL to conventional intubation education for novice users could increase the satisfaction of trainees during the procedure, especially as a way to understand critical anatomical structures.

26 citations

Patent
11 Aug 2006
TL;DR: A local computer search system including a mini web server installed in the local computer, receiving a search command with respect to data from a web browser according to an HTTP protocol and providing a search result in a web document to the web browser as mentioned in this paper.
Abstract: A local computer search system including: a mini web server installed in the local computer, receiving a search command with respect to data in the local computer from a web browser according to an HTTP protocol and providing a search result in a web document to the web browser; a searcher generating a local computer search result corresponding to an query included in the search command; and a web document generator generating the search result in the web document by converting the local computer search result generated by the searcher into a web document.

26 citations

Journal ArticleDOI
TL;DR: In this article, a sequential slack-based efficiency measure (SSBM) was proposed to model total-factor energy efficiency with undesirable outputs, which simultaneously takes into account the sequential environmental technology, total input slacks, and undesirable outputs for energy efficiency analysis.
Abstract: Improving energy efficiency has been widely regarded as one of the most cost-effective ways to improve sustainability and mitigate climate change. This paper presents a sequential slack-based efficiency measure (SSBM) application to model total-factor energy efficiency with undesirable outputs. This approach simultaneously takes into account the sequential environmental technology, total input slacks, and undesirable outputs for energy efficiency analysis. We conduct an empirical analysis of energy efficiency incorporating greenhouse gas emissions of Korean power companies during 2007–2011. The results indicate that most of the power companies are not performing at high energy efficiency. Sequential technology has a significant effect on the energy efficiency measurements. Some policy suggestions based on the empirical results are also presented.

26 citations

Patent
Taeil Kim1, Young Kwang Park, Jaeho Choi1, Jae Geol Choi, Kyoo Min Im1 
12 Feb 2007
TL;DR: In this paper, a system for auto-completion of a general recommended word and an advertising recommended word is presented, which includes an autocomplete indexer component, a web server and a query autocompletion server.
Abstract: A system for autocompleting a general recommended word and an advertising recommended word, the system including: a first database configured to maintain an autocomplete general recommend word; a second database configured to maintain an autocomplete advertising recommended word; an autocomplete indexer component configured to index the autocomplete general recommended word and the autocomplete advertising recommended word; an autocomplete index database configured to classify and store the indexed autocomplete general recommended word and the autocomplete advertising recommended word; a web server configured to 1) receive an input query, and 2) transmit the input query to a predetermined query autocompletion server, and 3) receive the autocomplete general recommended word and the autocomplete advertising recommended word, and 4) display the autocomplete general recommended word and the autocomplete advertising recommended word; and the query autocompletion server is provided.

26 citations


Authors

Showing all 4041 results

NameH-indexPapersCitations
Andrea Vedaldi8930563305
Sunghun Kim5111512994
Eric Gaussier412318203
Un Ju Jung39985696
Hyun-Soo Kim374215650
Gabriela Csurka3714510959
Nojun Kwak342346026
Young-Jin Park312573759
Sung Joo Kim311963078
Jae-Hoon Kim303235847
Jung-Ryul Lee292223322
Joon Son Chung28734900
Ok-Hwan Lee271632896
Diane Larlus27694722
Jung Goo Lee261421917
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20226
2021144
2020174
2019138
201882
201764