• International Journal of Contents
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• v.10 no.3
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• pp.1-8
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• 2014

In this paper, we collect and analyze the status of mobile phone applications (hereafter apps) in the healthcare and fitness category of the Apple iTunes App Store and Google Play Store. We determine the number of apps and analyze statistical aspects such as classifications, age rating, fees, and user evaluation of the popular items. As of September 30, 2013, there were 236 popular apps available from iTunes. Google Play offered 720 apps. We discover that apps for healthcare and fitness are diverse. Apps for physical exercise have the greatest popularity. The proportions of apps that are suitable for all ages among the Google and iTunes popular apps are 55.8% and 89.4%, respectively. The user evaluation of apps in iTunes is relatively less positive. We determine that the proportion of paid apps to free apps in Google is higher than that of the apps in iTunes. We perform hypothesis tests and find statistically significant differences in age rating and perceived satisfaction between the apps of the Apple iTunes App Store and Google Play Store. However, we find no meaningful differences in the classification and price of the apps between the two app stores. We perform hypothesis tests to verify the differences in age rating and perceived satisfaction between the paid and free apps within and across the Google Play Store and iTunes App Store. There are statistically significant differences in the age rating between the paid and free apps in the Google play store, between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps. There are statistically significant differences in the perceived satisfaction between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.79-86
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• 2010

This paper presents implementation of a system for effective visualizing flight information of aircraft using Google Earth. This system in order to use a detailed satellite image which provide from Google Earth used COM API. This system appeared the various flight information of the aircraft in the instrument panel using OpenGL and the aircraft flight condition is visible in the Google Earth Map. This research result used to flight evaluation and improvement. In future will be able to apply to flight software development.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.227-233
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• 2016

Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.

• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.41-51
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• 2022

We forecast the US oil consumption level taking advantage of google trends. The google trends are the search volumes of the specific search terms that people search on google. We focus on whether proper selection of google trend terms leads to an improvement in forecast performance for oil consumption. As the forecast models, we consider the least absolute shrinkage and selection operator (LASSO) regression and the structured regularization method for large vector autoregressive (VAR-L) model of Nicholson et al. (2017), which select automatically the google trend terms and the lags of the predictors. An out-of-sample forecast comparison reveals that reducing the high dimensional google trend data set to a low-dimensional data set by the LASSO and the VAR-L models produces better forecast performance for oil consumption compared to the frequently-used forecast models such as the autoregressive model, the autoregressive distributed lag model and the vector error correction model.

• Korean Journal of Artificial Intelligence
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• v.8 no.2
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• pp.11-16
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• 2020

Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.922-923
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• 2015

각 지역마다 많은 시설 및 상점이 존재하고 사용자들은 특정 지역에 자신이 원하고 필요한 곳을 찾기 위해서는 직접 검색을 통해 찾는 일이 필요하다. 본 논문에서는 안드로이드 기반 Google POI 애플리케이션을 구현하여 사용자가 원하는 특정 지역에 시설이나 상점을 검색하여 시각화하여 보여준다.

• Journal of Korean Library and Information Science Society
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• v.42 no.1
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• pp.397-415
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• 2011

Google, an internet search service with extensive user base, has provided Book Search service. Google has pursued collaboration with publishers and libraries to obtain content for Book Search service; publisher community for the purpose of sourcing the books with copyrights, and the libraries for the purpose of digitizing their collections and also utilizing already digitized resources. Google Book Search Service has evoked significant controversy because of the potential monopoly problems and its risk, accompanied by Google's huge influence and broad user spectrum. This study, thus, suggests the countermeasures that library community should prepare in order to cope with the Google Book Search.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.431-441
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• 2022

Many new challenges in different sectors have emerged due to societal growth, and researchers are needed to help solve them; and Google Scholar is a tool to assist researchers in doing so. The goal of this study is to figure out what characteristics influence how effective the Google Scholar tool is for Vietnamese university students. The study focuses on analyzing and explaining the interplay between the independent variables Perceived of Google Scholar, Perceived ease of use, Comprehensiveness and subjective norm, Perceived Satisfaction for the dependent variable Perception of usefulness. The study was carried out using quantitative and qualitative methods with 280 data points collected online through the survey link. The methods used to test the scale such as Cronbach alpha, CFA, SEM, One sample T-test, Independent Sample T-test, and One-way Anova are used to find the correlation between factors such as gender, Age, and Majors that affect the students' perception of the usefulness of google scholar. The results show that all the factors suggested in the model have a significant impact on the perceived usefulness of Google scholar. Furthermore, research shows that Google Scholar is an important academic search engine for Vietnamese students.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.143-152
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• 2010

These days, we can't confirm cadastre information about stereoscopic digital map that was consist of 2 dimensions and more difficult to understand of detailed parcel boundary, area, land using for 3 dimensions. An each local government providing three-dimensional that are connected to an aerial photograph with cadastre maps. Satisfaction is high for citizens but, this service additional cost for purchase of an aerial photograph order to provide of it. So far, in various ways are under study about three dimensions using Google Earth which is possible to provides 3 dimensional information by real time for individual parcel situation. The purpose of this study was analyzed an accuracy of overlapping between cadstre maps and an image on Google Earth Web in the each different coordinates system. Also, this paper could be provided for use possibility of 3 dimensions information service with an indicator of using or a guideline of direction for local government which provide 3 dimensions information oneday.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1662-1669
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• 2020

Google cloud includes data uploaded and synchronized by users, as well as synchronization history of all cloud services, users' smartphone usage, and location information. Therefore, Google cloud data can be useful for digital forensics from a user behavior analysis perspective. Through this paper, we have identified the types of cloud data that can be acquired using Google's Takeout service and developed a tool that can be usefully utilized in digital forensics research and investigation by screening and analyzing the data required for analyzing user behavior. Because Google cloud data is synchronized through Google accounts regardless of the type of computing device, Google service data used on various devices such as PCs, smartphones, and tablet PCs can be acquired through Google accounts without the device. Therefore, the results of this paper's research are expected to be very useful for digital forensics research and investigation in the current situation.