• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.225-230
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• 2020

This paper highlights the influence and the importance of the syntactic-grammatical knowledge on "the reading machine", appeared in Jackendoff (1999). Due to the lack of the detailed testing and implementation in his research, this paper tests an extensive data array using a component of Google Translate, currently available freely and most widely on the internet. Although outdated, Jackendoff's paper, "Why can't Computers use English?", argues that syntactic-grammatical knowledge plays a key role in the outputs of computers and computer-based reading machines. The current research has implemented some testings of his thought-provoking examples, in order to find out whether Google Translate can handle the same problems after two decades or so. As a result, it is argued that in the field of NLP, I-language in the sense of Chomsky (1986, 1995 etc) is real and the syntactic, grammatical, and categorial knowledge is essential in the faculty of language. Therefore, it is reassured in this paper that when it comes to human language, even the most advanced "machine" is still no match for human faculty of language, the syntactic-grammatical knowledge.

• Review of Culture and Economy
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• v.20 no.2
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• pp.119-147
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• 2017

This study analyzes Big Data to understand the economic influence of K-Beauty which is expected as a fast-growing industry. Because the content of K-beauty is mainly transmitted over the Internet, Big Data about K-Beauty in the database of online services can show interest and engagement in K-Beauty. The export volume of the beauty industry and the number of foreign tourist in Korea were used as dependent variables. The volume of Google search and the volume of YouTube page view were independent variables. According to the result of a multi-regression analysis, the volume of Google search of K-Beauty had a positive influence on both dependent variables, even after controlling for GDP (Gross Domestic Product) and distances between nations. When it comes to the volume of YouTube page view of K-Beauty, it had a positive relationship with the export volume of the beauty industry, whereas there was no significant relationship between the volume of YouTube page view and the number of foreign tourists. The result indicates that the content of K-Beauty has a significant impact on the beauty industry. Moreover, this empirical study shows that web search and YouTube search have a positive relationship with the economical aspect. These results can be used to discuss public relations strategy to promote K-Beauty industry.

• Korean Association of Arts Management
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• no.59
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• pp.33-72
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• 2021

I intended to discuss the new phase of the publicness of museums in a digital environment with the Goole Arts & Culture Project. To this end, I critically examined the instrumental approaches and technological optimism in the application of digital technology to museums, and scrutinized the recent museological issues, particularly the revision or curtailment of the museum's publicness amid the spread of neoliberal policy, which have been omitted within those technological approaches. This is because the meaning of Google Art & Culture can be considered more effectively through an extended theoretical reconstruction. Based on these theoretical discussions, I critically reviewed how the "non-profit," an important concept that defines the publicness of museums, was adopted and utilized as an business strategy by Google. As a result, I wanted to reveal that the neoliberalization of museums, the failure of the government's public function, the crisis of museum's publicness, and Google's "non-profit" strategy have been closely related. Armed with advanced digital technology, the GAC project appropriated the publicness of museums as a useful profit-making model. As such, now the concept of publicness of museums is at a point of more controversial and radical transformation than ever before.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.599-608
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• 2023

The increasing interest in soil moisture data using satellite data for applications of hydrology, meteorology, and agriculture has led to the development of methods for generating soil moisture maps of variable resolution. This study demonstrated the capability of generating soil moisture maps using Sentinel-1 and Sentinel-2 data provided by Google Earth Engine (GEE). The soil moisture map was derived using synthetic aperture radar (SAR) image and optical image. SAR data provided by the Sentinel-1 analysis ready data in GEE was applied with normalized difference vegetation index (NDVI) based on Sentinel-2 and Environmental Systems Research Institute (ESRI)-based Land Cover map. This study produced a soil moisture map in the research area of Victoria, Australia and compared it with field measurements obtained from a previous study. As for the validation of the applied method's result accuracy, the comparative experimental results showed a meaningful range of consistency as 4-10%p between the values obtained using the algorithm applied in this study and the field-based ones, and they also showed very high consistency with satellite-based soil moisture data as 0.5-2%p. Therefore, public open data provided by GEE and the algorithm applied in this study can be used for high-resolution soil moisture mapping to represent regional land surface characteristics.

• JOURNAL OF ELECTRICAL WORLD
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• s.405
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• pp.87-90
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• 2010

• KIPE Magazine
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• v.21 no.3
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• pp.58-62
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• 2016

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.213-214
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• 2016

본 논문에서는 모바일환경을 활용하여 인터넷 접근이 어렵고 인터넷 사용이 불편한 사용자를 중심으로 개발한 일상생활에서의 냉장고 정리, 쾌척 등과 같이 냉장고 사용의 편리성을 위하여 안드로이드 5.1 버전의 스마트폰 Application으로 개발하였다. 이를 해결할 시스템을 구현하기 위해 GCM(Google Cloud Messaging) Server를 활용하였고, 서버에서 특정 시간이 도래되어 클라이언트로 메시지를 전송하면 사용자의 안드로이드 폰으로 푸시 메시지(Push Message)가 수신되는 방식으로 구현하였다. 안드로이드 환경을 기준으로 실행하기 위해 APACHE CORDOVA를 기반으로 CORDOVA PLUGIN에 있는 Camera 기능을 사용하였고 사용자 안드로이드에 있는 사진을 업로드하거나 즉석에서 사진을 촬영하여 앱에 올릴 수 있는 기능을 사용자 편의성을 고려하여 개선하였다. 사용자의 편리성, 가독성 등을 고려하여 개발함으로써 사용자는 활용성이 높은 사용자 인터페이스를 통해 냉장고를 정리하고 관리할 수 있을 것으로 기대하고 있다.

• Phonetics and Speech Sciences
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• v.6 no.1
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• pp.77-83
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• 2014

This paper proposes a speaker and environment clustering method in order to overcome the degradation of the speech recognition performance caused by various noise and speaker characteristics. In this paper, instead of using the distance between Gaussian mixture model (GMM) weight vectors as in the Google's approach, the distance between the adapted mean vectors based on the modified maximum a posteriori (MAP) adaptation is used as a distance measure for vector quantization (VQ) clustering. According to our experiments on the simulation data generated by adding noise to clean speech, the proposed clustering method yields error rate reduction of 10.6% compared with baseline speaker-independent (SI) model, which is slightly better performance than the Google's approach.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.41-47
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• 2016

In Black hat USA 2014, a hacking method to infer the password entry of smartphone or smartpad with google glass in distance is presented. In this paper, we design the secure keypad to protect the key stroke inference attacks with google glass which has unique layout ensuring same input entry but different input value.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.420-422
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• 2007

In order to support wind power development in Jejudo, the island of winds, the wind resource database KIER-WindJeju has been established by meteor-statistical analysis on met-mast measurements of KIER. The analysis includes tower shading, exposure category, wind profile exponent for wind speed extrapolation to hub height of wind turbine, and correlation matrix between neighboring sites to assist choice of appropriate reference site for long-term correlation. KIER-WindJeju will be provided as an add-on of Google $Earth^{TM}$ and will be used as a guideline of future wind resource assessment in Jejudo.