• 발명특허
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• v.36 no.12
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• pp.40-46
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• 2011

오라클은 지난해 자바기술과 특허를 보유한 썬마이트로시스템즈를 인수하면서, 구글의 안드로이드가 자바 특허기술을 침해했다며 구글을 상대로 고소장을 제출하였다. 오라클은 이번 특허소송에서 자바표준기술에 대한 특허 7건을 구글이 침해했다고 주장하고 있다.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.397-404
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• 2020

Objectives: The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases. Methods: In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (R_t) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules. Results: Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated R_t to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and R_t (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected. Conclusions: Community-based social distancing interventions significantly decreased the R_t of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policymakers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.397-404
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• 2016

Illegal and harmful contents on the Internet has been an issue and been increased in Korea. They are often posted on the billboard and website of small enterprise and government office. Those illegal and harmful contents can relate to crime and suspicious activity, so, we need a detection system. However, to date the detection itself has been conducted manually by a person. In this paper, we develop an automated URL detection scheme for detecting a drug trafficking by using Google. This system works by analyzing the frequently used keywords in a drug trafficking and generate a keyword dictionary to store words for future search. The suspected drug trafficking URL are automatically collected based on the keyword dictionary by using Google search engine. The suspicious URL can be detected by classifying and numbering each domain from the collection of the suspected URL. This proposed automated URL detection can be an effective solution for detecting a drug trafficking, also reducing time and effort consumed by human-based URL detection.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.745-754
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• 2002

The Google search site (http://www.google.com), which was introduced in 1998, implemented the PageRank algorithm for the first time. PageRank is a ranking method based on the link structure of the Web pages. Even though PageRank has been implemented and being used in various commercial search engines, implementation details did not get documented well, primarily due to business reasons. Implementation techniques introduced in [4,8] are not sufficient to produce PageRank values of Web pages. This paper explains the techniques[4,8], and suggests major data structure and four implementation techniques in order to apply the PageRank algorithm. The paper helps understand the methods of applying PageRank algorithm by means of showing a real system that produces PageRank values of Web pages.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.4
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• pp.53-63
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• 2013

Together with soaring interest on Big Data, now there are vigorous reports that unearth various social values lying underneath those data from a number of application areas. Among those reports many are using such data as Internet search histories from Google site, social relationships from Facebook, and transactional or locational traces collected from various ubiquitous devices. Many of those researches, however, are conducted based on the data sets that are accumulated over the North American and European areas, which means that direct interpretation and application of social values exhibited by those researches to the other areas like Korea can be a disturbing task. This research has started from a validation study against Korean environment of the former paper which says an investment strategy that exploits up and down of Google search volume on a carefully selected set of terms shows high market performance. A huge difference between North American and Korean environment can be eye witnessed via the distinction in profit rates that are exhibited by the corresponding set of search terms. Two sets of search terms actually presented low correlation in their profit rates over two financial markets. Even in an experiment which compares the profit rates with two different investment periods with the same set of search terms showed no such meaningful result that outperforms the market average. With all these results, we cautiously conclude that establishing an investment strategy that exploits Internet search volume over a specified word set needs more conscious approach.

• Korean Journal of Remote Sensing
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• v.29 no.2
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• pp.253-261
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• 2013

Current surveying and spatial information technology incorporates information and communication technology and is user friendly. However, it is not convenient to use in the field because a connection to a computer, such as a laptop, tablet PC, or desktop PC, is needed to obtain the survey results and the coordinates of the surveyed points. To solve this problem, we developed an app that can display surveyed data on a map and the current survey results through a connection between a total station and smartphone using a Bluetooth wireless communication device. The app allows users to perform field work simultaneously with office work in the field, because it consists of Bluetooth, closed traverse survey, current status survey, and coordinate conversion modules. The proposed app should increase user convenience and the operational capability of the total station in the field.

• Journal of the Korean association of regional geographers
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• v.17 no.1
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• pp.122-139
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• 2011

Yanbian area is a region with great interests to Cultural-Historically Korea as well as China. Cultural-historic study on Yanbian are lots of researches but can find few mapping for sites. This study aimed to make a map and analyze characteristics of distributions in the Cultural-Historic sites of Yanbian using Google Earth. We made a distribution map from stone age to Qing Dynasty. Symbology for mapping made color symbols by time series and categorical symbols. As a research finding, Sites of Balhae and Yuo-Geum age account for large parts in comparison with other ages in Yanbian. Especially, sites of Goguryeo, Balhae and Yuo-Geum age showed spatio-temporal structure of accumulative layers Characteristics of distributions is located in basin and stream area in the early age, and after then historical period moved to hilly sides and mountainous areas. The result of this research is expected to offer information for relevant follow-up studies of Cultural-Historic sites.

• Journal of KIISE
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• v.43 no.11
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• pp.1201-1209
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• 2016

As the use of SNS continues to increase, various related studies have been conducted. According to the effectiveness of the topic model for existing theme extraction, a huge number of related research studies on topic model based analysis have been introduced. In this research, we suggested an automation system to analyze topics of each country and its distribution in twitter by combining world map visualization and issue matching method. The core system components are the following three modules; 1) collection of tweets and classification by nation, 2) extraction of topics and distribution by country based on topic model algorithm, and 3) visualization of topics and distribution based on Google geochart. In experiments with USA and UK, we could find issues of the two nations and how they changed. Based on these results, we could analyze the differences of each nation's position on ISIS problem.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.141-148
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• 2012

Android that was made by Google and Open Handset Alliance is the open source software toolkit for mobile phone. Nowadays, Smart phone users have been rapidly increasing, by that reason a lot of application contents have been released and especially contents which focus on user convenience have been developed. In this paper, we develop a new application content smart alarm based on Google Android flatform. The features of the developed content are as follows. First, users set their day's schedules. So they can notify easily what they have to do at the moment. Second, when users set their alarms not to forget several sequential tasks, they can set their schedules by not only alarm method but also timer method. In the performance evaluation, we show the results of simulation using AVD(Android Virture Device).

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.186-186
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• 2010

최근 들어, 2차원/3차원의 랩 또는 항공/위성 영상의 공간정보를 웹 상에서 서비스 하고 이러한 공간정보에 다양한 정보들을 융 복합하여 사용자들에게 보다 높은 수준의 정보를 제공하기 위한 기술개발에 대한 관심이 급증하고 있다. 예를들어, Microsoft사의 경우는 사용자 참여형(Participatory) 센서 웹 환경을 구축하기 위하여 SenseWeb 관련 기술 개발 및 시범 프로젝트를 수행하고 있는데, SenseWeb 시스템에서는 전 세계에 존재하는 모든 센서들을 연계하여 웹 상에서 사용자들에게 제공할 수 있도록 하는 것을 목표로 하고 있다. 최근에는, 이러한 SenseWeb 시스템을 이용하여 센싱정보와 Bing Map의 공간정보를 융합하여 사용자에게 서비스를 제공할 수 있는 SensorMap 시스템이 개발되었는데, 이러한 SensorWeb/SensorMap 시스템을 기반으로 다양한 시범 프로젝트들이 진행되어 오고 있다. Google사의 경우는 기존에 서비스 되고 Google Eearth/Map을 기반으로 실시간 센싱정보를 연계하여 제공하는 서비스와 다양한 사용자들의 정보들을 테이블 형태로 연계 및 융합하여 제공하기 위한 Google Fusion Tables 서비스를 제공하고 있다. Oracle사의 경우는 센싱정보를 포함하여 실시간으로 끊임없이 변화하는 정보들에 대하여 이벤트 처리, 패턴 분석, 그리고 상황인식 등의 서비스를 제공할 수 있는 CEP(Complex Event Processing) 제품을 선보이고 있다. Nokia사의 경우는 기존의 고정 센서노드들 이외에 모든 모바일 폰을 이동이 가능한 센서노드로 가정하고 이러한 모바일 센서노드들로부터 교통정보를 포함하는 다양한 센싱정보를 수집하고 분석하여 공간정보 기반으로 서비스하기 위한 기술 개발을 꾸준히 추진해 오고 있다. 본 발표에서는 이러한 공간정보와 센싱정보 또는 기타 사용자 정보와의 융 복합서비스를 가능하게 하는 핵심기술들에 대하여 소개하고자 한다. 첫째로 다양한 공간정보와 센싱정보의 융 복합 및 분석 서비스를 제공할 수 있는 u-GIS 융합 엔진에 대하여 설명하고자 한다. u-GIS 융합 엔진에서는 구체적으로 최근 이슈가 되고 있는 다양한 센싱정보의 효율적 수집, 분석, 관리를 위한 GeoSensor 데이터 저장/관리 기술과 센싱정보-공간정보의 실시간 융합 분석 기술에 대해서 소개를 하고자 한다. 둘째로, 이러한 공간정보, 센싱정보 그리고 기타 사용자 정보들을 웹 상에서 효율적으로 매쉬업하여 2차원 및 3차원으로 사용자에게 제공하기 위한 맞춤형 국토정보 제공 기술에 대하여 설명하고자 한다. 여기서는 공간정보 센싱정보 그리고 기타 사용자 정보와의 연계를 위한 매쉬업 엔진 기술 그리고 실시간 3차원 공간정보 제공 기술 등에 대하여 소개를 하고자 한다. 끝으로, 영상 기반의 효율적인 공간정보 구축을 위한 멀티센서 데이터 처리 기술에 대하여 간략히 소개를 하고, 앞에서 설명된 핵심기술들 이외에도 향후 추가로 요구되는 기술개발 내용에 대하여 간략히 설명을 하고자 한다.