• Title/Summary/Keyword: global data

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Image Classification of Endangered Species of Migratory Birds Using Pytorch (Pytorch를 통한 멸종위기종 철새 이미지 분류 AI 시스템)

  • Chae-Young Shim;Joon-Woo Lee;Min-Jung Choo;Da-Hui Hwang;Yoo-Jin Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.319-320
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    • 2023
  • 본 논문에서는 합성곱 신경망이 적용된 네트워크를 활용해 전이 학습의 과정을 거친 멸종위기종 철새들의 이미지를 분류하는 시스템의 설계과정과 결과를 제시한다. 연구 방법으로 한국 영랑호를 찾아오는 멸종위기종, 천연기념물인 철새들의 이미지를 학습시켜 "가창오리", "노랑부리백로", "물총새" 이 세 종의 철새들을 매우 정확하게 분류하는 것을 확인하였다. 데이터 예비학습과정에서 train data의 개수를 40개로 진행했을때 약 92%의 정확도를 확인 후, train data의 이미지 개수를 50장으로 늘려 더 높은 정확도를 얻을 수 있었다. 이 시스템은 한국을 방문하는 멸종위기종 철새들을 무분별하게 포획하지 않도록 철새 이미지 분류시 활용 가능하다고 사료된다.

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Signal of vegetation variability found in regional-scale evapotranspiration as revealed by NDVI and assimilated atmospheric data in Asia

  • Suzuki, Rikie;Masuda, Kooiti;Yasunari, Tetsuzo;Yatagai, Akiyo
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.685-689
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    • 2002
  • This study focused the relationship between the Normalized Difference Vegetation Index (NDVI) and the evapotranspiration (ET) temporal changes. Especially, the interannual change of the NDVI and ET from 1982 to 2000 at regional to continental scales was highlighted mainly over Asia. Monthly global NDVI data were acquired from Pathfinder AVHRR Land (PAL) data (1$\times$1 degree resolution). The monthly ET was estimated from assimilated atmospheric data provided from National Centers for Environmental Prediction (NCEP) (2.5$\times$2.5 degree resolution), and gridded global precipitation data of CPC Merged Analysis of Precipitation (CMAP) (2.5$\times$2.5 degree resolution). Significant positive correlations were found between the NDVI and ET interannual changes in May and June over western Siberia. Moreover, it was revealed that the most of area in Asia has positive correlation coefficient in May and June. These results delineate that the vegetation activity significantly contributes to the ET interannual change over extensive areas.

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Analysis of Xiaomi Trends Using Big Data - Based on Customer Perception at Domestic and Global - (빅데이터를 활용한 샤오미 동향분석 - 국내외 고객인식을 바탕으로 -)

  • Eunji Lee;Jaeyoung Moon
    • Journal of Korean Society for Quality Management
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    • v.52 no.2
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    • pp.323-340
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    • 2024
  • Purpose: The purpose of this study was to propose useful suggestions by analyzing research Xiaomi which are big data analyses, by collecting data based on Customer Perception in Textom. Methods: The collected data through scraping social media on the Textom site. And data preprocessing was performed using deleting and organizing data(text) that are duplicated, irrelevant, and where there is no meaning. The derived data were analyzed using Textom and Ucinet 6.0 with Text Analysis, WordClould, TF-IDF, Network Analysis, and Emotional analysis. Results: The results of this study are as follows; although the results of Xiaomi's text at domestic and global were similar, it was analyzed that there were perceptions of Xiaomi-related smart home products and cost-effectiveness in Korea, while in foreign countries, there were perceptions of functions and performance centered on smartphones. At domestic and global, the perception of Xiaomi was analyzed to be positive, and implications were presented based on these analysis results. Conclusion: Based on the results, if the product's performance or product competitiveness is considered to be meaningful in the market, and it is expected that there will be an opportunity to change the overall image of Chinese products.

Development of a Stochastic Snow Depth Prediction Model Using a Bayesian Deep Learning Method (베이지안 딥러닝 기법을 이용한 확률적 적설심 예측 모델 개발)

  • Jeong, Youngjoon;Lee, Sang-ik;Lee, Jonghyuk;Seo, Byunghun;Kim, Dongsu;Seo, Yejin;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.6
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    • pp.35-41
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    • 2022
  • Heavy snow damage can be prevented in advance with an appropriate security system. To develop the security system, we developed a model that predicts snow depth after a few hours when the snow depth is observed, and utilized it to calculate a failure probability with various types of greenhouses and observed snow depth data. We compared the Markov chain model and Bayesian long short-term memory models with varying input data. Markov chain model showed the worst performance, and the models that used only past snow depth data outperformed the models that used other weather data with snow depth (temperature, humidity, wind speed). Also, the models that utilized 1-hour past data outperformed the models that utilized 3-hour data and 6-hour data. Finally, the Bayesian LSTM model that uses 1-hour snow depth data was selected to predict snow depth. We compared the selected model and the shifting method, which uses present data as future data without prediction, and the model outperformed the shifting method when predicting data after 11-24 hours.

Analysis of the Manufacturing Firms' R&D Strategy According to Global Political and Economic Uncertainty (글로벌 정치 경제적 불확실성에 따른 제조 기업의 R&D 전략 분석)

  • Keontaek Oh;EuiBeom Jeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.191-204
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    • 2024
  • This study analyzes the effects of manufacturing firms' R&D investment on sales according to global political economic uncertainty. The variables in this research include the firm's R&D investment, sales, which serves as an indicator of the firm's performance, and the Global Economic Policy Uncertainty (GEPU) index, which reflects situations of global political economic uncertainty. Panel data analysis is conducted by using a total of 96 quarters of data spanning 24 years from 2000 to 2023 based on manufacturing firms in the Wharton Research Data Services' Compustat Database. We study the impact of firm's R&D investment on sales by considering the Global Economic Policy Uncertainty index, which was relatively underestimated in previous research, as moderating variable, and present a new direction for research by analyzing the time lag effect. We suggest effective R&D investment strategy for firms.

Implementation of a System for RFID Education to be based on an EPC global Network Standard (EPC global Network 표준을 따르는 RFID 교육용 시스템의 구현)

  • Kim, Dae-Hee;Chung, Joong-Soo;Kim, Hyu-Chan;Jung, Kwang-Wook;Kim, Seog-Gyu
    • The Journal of the Korea Contents Association
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    • v.9 no.11
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    • pp.90-99
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    • 2009
  • This paper presents the implementation of RFID EPC global network educational system based on using 900MHz air interface between the reader and the active tag. The software of reader and the active tag is developed on embedded environment, and the software of PC controlling the reader is based on window OS operated as the server. The ATmega128 VLSI chip is used for the processor of the reader and the active tag. As the development environment, AVR compiler is used for the reader and the active tag of which the programming language is C. The visual C++language of the visual studio on the PC activated as the server is used for development language. Main functions of this system are to control tag containing EPC global Data by PC through the reader, to obtain information of tag through the internet and to read/write data on tag memory. Finally the data written from the active tag's memory is sent to the PC via the reader as "read" operation and compare the received data with one already sent to the tag. Software implementation of 900MHz EPC global RFID educational system is done on the basis of these functions.

Concurrency Control for Global Transaction Management in Integrated Heterogeneous Database System (이질형 통합 데이타베이스 시스템의 전역 트랜잭션을 위한 병행수행 제어기법)

  • Lee, Gyu-Ung
    • The KIPS Transactions:PartD
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    • v.8D no.5
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    • pp.473-482
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    • 2001
  • Integrated heterogeneous database systems provide the unified interface for users and applications today in order to access the underlying diverse data sources located in different sites. The multiple heterogeneous data sources have the different and specialized data structures and transaction processing capabilities. Because of local autonomy, the local system does not have the capability of cooperation to control the global transaction. Hence designing the global transaction manager with supporting the global serializability is difficult task. To resolve the well-known indirect conflict, we define the global transaction model by using the characteristics of global integrity constraints. And then we propose the site-locking operation and its protocol to manage the global transaction. The correctness and analysis of our site-locking protocol is proved and performance gain over the related other methods is also estimated in this paper.

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Effect of a global health training program for nursing students on global citizenship and cultural competencies

  • Oh, Hye Kyung;Jang, Youn Kyoung;Kim, Jin Sun;Jung, Young Hae
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.23-31
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    • 2019
  • This study was a quasi-experimental study with a single group pre-posttest design for evaluating the effects and meanings of a global health training program for nursing students. A mixed data collection method utilizing both qualitative and quantitative methods was applied. The qualitative method consisted of reflection journal entry analysis, while the quantitative study evaluated data collected from a self-reported questionnaire. After attending the program, cultural competencies of participants significantly increased than pre-test while global citizenship was not. Through an analysis of reflection journals written during the overseas training period, the meanings of experiences derived after the program were classified into five themes and 12 sub themes, which were, 'improvement of global health leadership', 'experience of barriers in reality', 'improvement of nursing professional value', 'inspiration of a perspective on health equity', and 'internal growth'. The results indicate that global health training program evaluated in this study was meaningful; it provided students with opportunities to experience the nurse's role in diverse global environments and attempted to measure the effects.

A Detail Survey of Horizontal Global Radiation and Cloud Cover for the Installation of Solar Photovoltaic System in Korea (국내 태양광시스템 설치를 위한 수평면 전일사량과 운량 정밀조사)

  • Jo, Dok-Ki;Kang, Young-Heack
    • Journal of the Korean Solar Energy Society
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    • v.30 no.3
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    • pp.1-9
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    • 2010
  • Since the horizontal global radiation and cloud cover are a main factor for designing any solar photovoltaic system, it is necessary to evaluate its characteristics all over the country. The work presented here are the investigation of horizontal global radiation and cloud cover in Korea. The data utilized in the investigation consist of horizontal global radiation and cloud cover collected for 27 years(1982. 12~2008. 12) at measuring stations across the country. The analysis shows that the annual-average daily horizontal global radiation is $3.61\;kWh/m^2$ and the annual-average daily cloud cover is 5.1 in Korea. We also constructed the contour map of cloud cover in Korea by interpolating actually measured data across the country.

Analysis of of Horizontal Global Radiation and Cloud Cover in Korea (국내 수평면 전일사량과 운량 분석)

  • Jo, Dok-Ki;Yun, Chang-Yeol;Kim, Kwang-Deuk;Kang, Young-Heack
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.124-129
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    • 2011
  • Since the horizontal global radiation and cloud cover are a main factor for designing any solar energy system, it is necessary to evaluate its characteristics all over the country. The work presented here are the investigation of horizontal global radiation and cloud cover in Korea. The data utilized in the investigation consist of horizontal global radiation and cloud cover collected for 27 years(1982.12~2008.12) at measuring stations across the country. The analysis shows that the annual-average daily horizontal global radiation is $3.61kWh/m^2$ and the annual-average daily cloud cover is 5.1 in Korea. We also constructed the contour map of cloud cover in Korea by interpolating actually measured data across the country.

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