• Title/Summary/Keyword: GOOGLE

Search Result 1,754, Processing Time 0.029 seconds

Analyzing Global Startup Trends Using Google Trends Keyword Big Data Analysis: 2017~2022 (Google Trends 의 키워드 빅데이터 분석을 활용한 글로벌 스타트업 트렌드 분석: 2017~2022 )

  • Jaeeog Kim;Byunghoon Jeon
    • Journal of Platform Technology
    • /
    • v.11 no.4
    • /
    • pp.19-34
    • /
    • 2023
  • In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

  • PDF

Oil Spill Monitoring in Norilsk, Russia Using Google Earth Engine and Sentinel-2 Data (Google Earth Engine과 Sentinel-2 위성자료를 이용한 러시아 노릴스크 지역의 기름 유출 모니터링)

  • Minju Kim;Chang-Uk Hyun
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.3
    • /
    • pp.311-323
    • /
    • 2023
  • Oil spill accidents can cause various environmental issues, so it is important to quickly assess the extent and changes in the area and location of the spilled oil. In the case of oil spill detection using satellite imagery, it is possible to detect a wide range of oil spill areas by utilizing the information collected from various sensors equipped on the satellite. Previous studies have analyzed the reflectance of oil at specific wavelengths and have developed an oil spill index using bands within the specific wavelength ranges. When analyzing multiple images before and after an oil spill for monitoring purposes, a significant amount of time and computing resources are consumed due to the large volume of data. By utilizing Google Earth Engine, which allows for the analysis of large volumes of satellite imagery through a web browser, it is possible to efficiently detect oil spills. In this study, we evaluated the applicability of four types of oil spill indices in the area of various land cover using Sentinel-2 MultiSpectral Instrument data and the cloud-based Google Earth Engine platform. We assessed the separability of oil spill areas by comparing the index values for different land covers. The results of this study demonstrated the efficient utilization of Google Earth Engine in oil spill detection research and indicated that the use of oil spill index B ((B3+B4)/B2) and oil spill index C (R: B3/B2, G: (B3+B4)/B2, B: (B6+B7)/B5) can contribute to effective oil spill monitoring in other regions with complex land covers.

Exploring Collaborative Learning Dynamics in Science Classes Using Google Docs: An Epistemic Network Analysis of Student Discourse (공유 문서를 활용한 과학 수업에서 나타난 학생 담화의 특징 -인식 네트워크 분석(ENA)의 활용-)

  • Eunhye Shin
    • Journal of The Korean Association For Science Education
    • /
    • v.44 no.1
    • /
    • pp.77-86
    • /
    • 2024
  • This study analyzed students' discourse and learning to investigate the impact of using Google Docs in science classes. The researcher, who is also a science teacher, conducted classes for 49 second-year middle school students. The classes included one using Google Docs and another using traditional paper worksheets covering identical content. Students' discourse collected from each class was compared and analyzed using Epistemic Network Analysis (ENA). The findings indicated that in the class using Google Docs, the proportion of discourse related to task was higher compared to the traditional class. More specifically, discourse regarding taking and uploading photos was prominent. However, such discourse did not lead to peer learning as intended by the teacher. An analysis based on achievement levels revealed that the class utilizing Google Docs had a relatively higher proportion of discourse from lower-achieving students. Additionally, differences were observed in the types of utterances and connection structures between the higher and lower-achieving students. The higher-achieving students took a leading role in providing suggestions and explanations, while the lower-achieving students played a role in transcribing them, with this tendency being more pronounced in the class using Google Docs. Lastly, students' changes in perception regarding the cause of static electricity were visualized using ENA. Based on the research findings, this study proposes strategies to enhance collaborative learning using Google Docs, including the use of open-ended problems to allow diverse opinions and outputs, and exploring the potential use of ENA to assess the learning effects of conceptual learning.

A Study on the Quality of Academic Information Service of Internet Portal (인터넷 포털 학술정보서비스 품질에 관한 연구)

  • Kim, Seonghee;Park, Hyejin
    • Journal of the Korean Society for information Management
    • /
    • v.31 no.2
    • /
    • pp.79-97
    • /
    • 2014
  • This study was to evaluate the quality of academic information services provided by Naver Academic Information Service, Google Scholar, and MS Academic Search. This academic information services were evaluated in terms of the contents, service, and effectiveness. 135 four year college students were recruited for the survey. The results showed that the Google Scholar in contents section had higher score than Naver and MS Academic Search. In regard to service, Google Scholar had higher score in retrieval section while Naver had higher score in design section respectively. Finally, both Google Scholar and Naver in the access section had higher score than MS Academic Search.

Forecasting Unemployment Rate using Social Media Information (소셜 미디어 정보를 이용한 실업률 예측)

  • Na, Jonghwa;Kim, Eun-Sub
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.18 no.6
    • /
    • pp.95-101
    • /
    • 2013
  • Social media has many advantages. It can gain latest information with real time, be spread rapidly, easily be reproduced and distributed regardless of its form. These advantages can result in real time predictions using the latest information, which is possible due to the increase in social demand for more quick and accurate economic variable predictions. In this paper we adopted ARIMAX and ECM model to predict the unemployment rate and as a social information we used the Google Index provided by Google Trend. Also we used News Index as a domestic social information. The process of fitting statistical model considered in this paper can be adopted to predict various socio/economic indices as well as unemployment rate.

A Study of Gateway System based on Google Android (Google Android 기반의 게이트웨이 시스템에 관한 연구)

  • Yim, Jun-Woo;Kim, Young-Kil;Na, Sang-Sin
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.12
    • /
    • pp.2737-2742
    • /
    • 2009
  • Researches of U-Healthcare have been fulfilled lively with an advanced age and change of lifestyles. Especially, medical field has focused on researches of U-Healthcare due to that reasons. The U-Healthcare service requires the foundation technologies, such as sensor aggregating, data transmitting and realtime monitoring technologies, In this study, we implemented medical sensor that applied Bluetooth technology to guarantee the patient's movement. Moreover, we also implemented a gateway which based on Google Android System in ARM 11 Embedded system.

Motion Recognition of Mobile Phone for data sharing based on Google Cloud Message Service (Google 클라우드 메시지 서비스 기반의 데이터 공유를 위한 모바일 폰의 모션 인식)

  • Seo, Jung-Hee;Park, Hung-Bog
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.14 no.1
    • /
    • pp.205-212
    • /
    • 2019
  • With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

A Study on Gateway System based on Google Android for U-Healthcare Service (U-Healthcare 서비스를 위한 Google Android 기반의 게이트웨이 시스템 연구)

  • Lim, Jun-woo;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2009.05a
    • /
    • pp.267-270
    • /
    • 2009
  • Researches of U-Healthcare have been fulfilled lively with an advanced age and change of lifestyles. Especially, medical field has focused on researches of U-Healthcare due to that reasons. The U-Healthcare service requires the foundation technologies, such as sensor aggregating, data transmitting and realtime monitoring technologies, In this study, we implemented medical sensor that applied Bluetooth technology to guarantee the patient's movement. Moreover, we also implemented a gateway which based on Google Android System in ARM 11 Embedded system.

  • PDF

A Study on the ChatGPT: Focused on the News Big Data Service and ChatGPT Use Cases (ChatGPT에 관한 연구: 뉴스 빅데이터 서비스와 ChatGPT 활용 사례를 중심으로)

  • Lee Yunhee;Kim Chang-Sik;Ahn Hyunchul
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.19 no.1
    • /
    • pp.139-151
    • /
    • 2023
  • This study aims to gain insights into ChatGPT, which has recently received significant attention. The study utilized a mixed method involving case studies and news big data analysis. ChatGPT can be described as an optimized language model for dialogue. The question arises whether ChatGPT will replace Google search services, posing a potential threat to Google. It could hurt Google's advertising business, which is the foundation of its profits. With AI-based chatbots like ChatGPT likely to disrupt the web search industry, Google is establishing a new AI strategy. The study used the BIG KINDS service and analyzed 2,136 articles over six months, from August 23, 2022, to February 22, 2023. Thirty of these articles were written in 2022, while 2,106 have been reported recently as of February 22, 2023. Also, the study examined the contents of ChatGPT by utilizing literature research, news big data analysis, and use cases. Despite limitations such as the potential for false information, analyzing news big data and use cases suggests that ChatGPT is worth using.

WWDC2012와 Google I/O를 통해 본 모바일 OS의 변화

  • Sin, Jae-Gyeong
    • Information and Communications Magazine
    • /
    • v.29 no.9
    • /
    • pp.3-9
    • /
    • 2012
  • 본고에서는 WWCD2012에서 발표한 iOS 6.0에서는 Maps/Siri/Facetime/Passbook 등의 자체 서비스 강화, Major Service의 Embedded를 통한 Application 기능 강화 등에 초점을 맞추어 개선점을 찾아가고 있다. 이에 대해 Google도 Siri에 대응되는 Google Now를 발표하고, iPad에 대응되는 넥서스7를 발표하였다. 지금까지는 자체 개선점에 주력하며 기능을 하나씩 개선하는데 주력한 것에 비해서 2012년에는 안정적이고 빠른 UI 및 Frameworks의 개선을 제시하면서 사실상 유사한 품질을 제공하려 노력하고 있으며, 경쟁 OS 대비 경쟁을 의식한 기능과 서비스를 계속 제안할 것이다.