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.

System and method for providing geographic information in private webpage

Abstract: A geographic information providing system in a personal webpage is disclosed The geographic information providing system can include a GPS information storing unit, receiving GPS coordinate information related to a location of a user and additional information from a mobile communication terminal and storing the received GPS coordinate information and additional information; a map data loading unit, loading map data having a location corresponding to the GPS coordinate information if a request to access the stored GPS coordinate information and additional information is received; and a temporary layer generating controlling unit, generating a temporary layer to mark the location corresponding to the GPS coordinate information on a loaded map in a form capable of being identified by the user and providing control information for displaying the location corresponding to the GPS coordinate information With the present invention, the location information related to a place visited by the user can be easily stored using a mobile communication terminal

Development of Rainfall-Flood Damage Estimation Function using Nonlinear Regression Equation

Abstract: Predicting and estimating the disaster characteristics are very important for disaster planning such as prevention, preparedness, response, and recovery. Especially, if we can predict the flood damage before flooding, the predicted or estimated damage will be a very good information to the decision maker for the response and recovery. However, most of the researches, have been performed for calculating disaster damages only after disasters had already happened and there are few studies that are related to the prediction of the damages before disaster. Therefore, the objective of this study was to predict and estimate the flood damages rapidly considering the damage scale and effect before the flood disaster, For this the relationship of rainfall and damage had been suggested using nonlinear regression equation so that it is able to predict the damages according to rainfall. We compared the estimated damages and the actual ones. As a result, the damages were underestimated in 14.16% for Suwon-city and 15.81% for Yangpyeong-town but the damage was overestimated in 37.33% for Icheon-city. The underestimated and overestimated results could be occurred due to the uncertainties involved in natural phenomenon and no considerations of the 4 disaster steps such as prevention, preparedness, response, and recovery which were already performed.. Therefore, we may need the continuous study in this area for reducing various uncertainties and considering various factors related to disasters. Climate Change Disaster Statistic data Flood Damage Nonlinear Regression Equation Damage Prediction 재해가 발생하기 전에 재해의 규모와 이에 따른 영향 및 피해액을 신속하게 추정하는 것 은 효율적인 재난관리를 하는데 있어 중요하고, 더불어 정책결정자들이 의사결정을 할 때 도움이 될 수 있다. 하지만 기존의 연구는 재해 발생 후에 그 피해액 혹은 복구액을 산정하 고 있어 재해 발생전에 미리 피해액을 추정하는 연구는 매우 미흡한 실정이다. 따라서 본 연구의 목적은 재해 발생 전에 그 피해규모와 영향을 고려하여 이에 따른 피해 액을 신속하게 추정하기 위해 비선형 회귀식을 이용해 강우-홍수피해액에 대한 함수를 제 시하여 강우에 따른 피해액을 미리 추정할 수 있도록 하고자 하였다. 경기도 3개 지역에 대한 강우-홍수피해액의 비선형 회귀식을 이용한 결과, 수원시 경우 실제 피해액보다 -14.16%, 양평군의 경우 –15.81%, 이천시의 경우 +37.33%로 과소·과대 추 기후변화 재해통계자료 홍수피해액 비선형 회귀식 피해액 예측 Journal of the Korea Society of Disaster Information Vol.12 No.1 ❙ pp. 74 88 Available online at www.kosdi.or.kr G. Eo et al. Journal of the Korea Society of Disaster Information Vol.12 No.1 pp.74 – 88, 2016 75 * Corresponding author. Tel. 82-10-7531-7359. Email. good3437@noaa.co.kr 1 Tel. 82-10-3375-7477. Email. stynrehero@naver.com 2 Tel. 82-10-5429-5271. Email. karesma0cch@naver.com 3 Tel. 82-10-3300-3378. Email. jungjw89@gmail.com 4 Tel. 82-10-3441-1038. Email. sookim@inha.ac.kr ARTICLE HISTORY Recieved Mar. 10, 2016 Revised Mar. 22, 2016 Accepted Mar. 28, 2016 정이 되었다. 과소추정의 원인으로는 지역의 재해대응력증가, 자연재해의 불확실성 및 재해 연보의 부정확성으로 볼 수 있으며, 과대추정의 원인으로는 피해액에 대한 자료의 부족, 강 우-홍수피해액간의 낮은 상관성이 원인으로 분석되었다. 이러한 문제점들은 근원적으로 해 결하기 어려운 자연현상의 불확실성과 이에 따른 대응능력 또한 지역별로 다르다는 점이다. 따라서 이러한 부분들을 개선하는 연구가 수행된다면 보다 더 신뢰할 수 있는 결과가 도출 될 것으로 기대된다. c 2016 Korea Society of Disaster Information All rights reserved 1976-2208 c 2016 Korea Society of Disaster Information All rights reserved. http://dx.doi.org/10.15683/kosdi.2016.3.31.74 Journal of the Korea Society of Disaster Information. Vol.12, No.1, pp.74 88

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition

Abstract: Deep neural networks for video action recognition frequently require 3D convolutional filters and often encounter overfitting due to a larger number of parameters. In this paper, we propose Random Mean Scaling (RMS), a simple and effective regularization method, to relieve the overfitting problem in 3D residual networks. The key idea of RMS is to randomly vary the magnitude of low-frequency components of the feature to regularize the model. The low-frequency component can be derived by a spatio-temporal mean on the local patch of a feature. We present that selective regularization on this locally smoothed feature makes a model handle the low-frequency and high-frequency component distinctively, resulting in performance improvement. RMS can enhance a model with little additional computation only during training, similar to other regularization methods. RMS also can be incorporated into typical training process without any bells and whistles. Experimental results show the improvement in generalization performance on a popular action recognition datasets demonstrating the effectiveness of RMS as a regularization technique, compared to other state-of-the-art regularization methods.

Method and system for managing the impressing of the search listing based on advertisement group

Abstract: Disclosed are method and system for managing an impression of a search listing, the comprising the steps of: maintaining a search information database for storing a keyword and a search listing corresponding thereto; selecting the predetermined number of keywords from the stored keywords and recording the selected keyword in a predetermined advertising record; associating the at least one advertising record with an advertising group; extracting a search listing corresponding to an inputted keyword for a search request by referring to the search information database; and controlling the extracted search listing to be displayed by referring to an advertising record associated with the inputted keyword; wherein the advertising record includes information on a ranking of an advertising impression location where the search listing is displayed; and the step of controlling the extracted search listing to be displayed comprises the step of: performing predetermined bidding process at the advertising impression location and determining whether it is possible to display the extracted search listing.

Test Automation Framework for Implementing Continuous Integration

Abstract: Manual testing is a laborious and time consuming process. In addition, it may not be effective in finding certain defects. Therefore, we introduce an effective framework for automated testing to help solve such problems. The proposed framework helps automate the distribution, execution, and results analysis of test cases. The workflow of tests and test environments are graphically expressed as tables. Many software development and testing practices can be automated and greatly simplified by using this framework. It can also be used to create a Continuous Integration (CI) system by incorporating the automated build tools or CI servers. This paper provides best practices on automated CI solutions using the proposed framework to provide developers and/or testers with a better idea of progress and code quality throughout the project lifecycle so that they can direct their time and expertise to more important, challenging issues.