Naver Corporation

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.

Design and Manufacture of Modified Ring antenna with Stub and Ground Slot for WLAN Applications

Abstract: In this paper, a dual-band circular ring monopole antenna with stub and ground slot for is proposed WLAN(Wireless Local Area Networks) applications. The proposed antenna is based on a planar monopole design, and composed of one circular ring of radiating patches, and modified feed line, and rectangular slot in the ground plane for dual-band operation. To obtain the optimized parameters, we used the simulator, Ansoft`s High Frequency Structure Simulator(HFSS) and found the parameters that effect antenna characteristics. Using the obtained parameters, the antenna is fabricated, and the return loss coefficient, gain, and radiation patterns are determined for WLAN application.

An effect of academic achievement for 'beautician(skin) education and training course' suggested by 'NCS' on profession and practice suitability

Abstract: This study verified the effects of 'the education and training course for Aestheticians(Skin)' suggested by 'NCS', which is an outcome of the government's efforts to change from an 'educational background-centered society' to a 'capability-centered society' on the 'profession' and 'practice suitability' of actual aestheticians(skin) positively. As a result, three factors except for hygiene-related subjects and basic occupation capability had significant effects on the practical capability, and 4 factors except for the 'basic occupation ability' had significant effects on the 'profession' of skin beauticians. This suggests that people understand as a concept related to professionalism, even though hygiene-related subjects are associated with the customer's health, so it is very important. This means that awareness should be exchanged from practical capability, not professionalism, for hygiene-related subjects. In addition, the basic occupation capability is difficult to acquire for a short time and is organized by the capabilities, which are expected to have synergy effects when combined with professionalism knowledge. Therefore, it is necessary to prepare concrete measures to cultivate the basic occupation capability. When the government currently presents the 'NQF' establishment, it will be necessary to check the 'NCS' based on it. On the other hand, there has been no action of the academic world and government. In addition, the subjects related to common occupation capability, skin-related subjects and nail-related subjects are judged to cultivate manpower focusing on the capability, but hygiene-related subjects and basic occupation subjects are judged to seek a new direction to apply as a curriculum for cultivating manpower focusing on capability.

Optimal iterative learning control with model uncertainty

Abstract: In this paper, an approach to deal with model uncertainty using norm-optimal iterative learning control (ILC) is mentioned. Model uncertainty generally degrades the convergence and performance of conventional learning algorithms. To deal with model uncertainty, a worst-case norm-optimal ILC is introduced. The problem is then reformulated as a convex minimization problem, which can be solved efficiently to generate the control signal. The paper also investigates the relationship between the proposed approach and conventional norm-optimal ILC; where it is found that the suggested design method is equivalent to conventional norm-optimal ILC with trial-varying parameters.Finally,simulation results of the presented technique are given.

Association of Periodontal Status with Health Lifestyle in Adults

Abstract: Correspondence to: Eunsuk AhnDepartment of Social and Humanity in Dentistry, Wonkwang University School of Dentistry, 460, Iksan-dearo, Iksan 570-749, KoreaTel: +82-63-850-6915, Fax: +82-63-850-6934, E-mail: esann82@naver.comCopyright © 2015 by the Korean Society of Dental Hygiene Science This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Geographic Diversification of Recommended POIs in Frequently Visited Areas

Abstract: In the personalized Point-Of-Interest (POI) (or venue) recommendation, the diversity of recommended POIs is an important aspect. Diversity is especially important when POIs are recommended in the target users’ frequently visited areas, because users are likely to revisit such areas. In addition to the (POI) category diversity that is a popular diversification objective in recommendation domains, diversification of recommended POI locations is an interesting subject itself. Despite its importance, existing POI recommender studies generally focus on and evaluate prediction accuracy. In this article, geographical diversification (geo-diversification), a novel diversification concept that aims to increase recommendation coverage for a target users’ geographic areas of interest, is introduced, from which a method that improves geo-diversity as an addition to existing state-of-the-art POI recommenders is proposed. In experiments with the datasets from two real Location Based Social Networks (LSBNs), we first analyze the performance of four state-of-the-art POI recommenders from various evaluation perspectives including category diversity and geo-diversity that have not been examined previously. The proposed method consistently improves geo-diversity (CPR(geo)c20) by 5 to 12% when combined with four state-of-the-art POI recommenders with negligible prediction accuracy (Recallc20) loss and provides 6 to 18% geo-diversity improvement with tolerable prediction accuracy loss (up to 2.4%).