• Title/Summary/Keyword: Plogging

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Analysis on Trends in Plogging Culture and Professional Sports Using BIG KINDS Analysis (빅카인즈 분석을 활용한 플로깅 문화와 프로스포츠 분야의 동향 분석)

  • Gyu-Min, Na;Kyung-A, Oh
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.5
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    • pp.1072-1080
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    • 2023
  • The purpose of this study is to analyze major keywords and social phenomena related to 'plogging' in the sports field and to derive important information. In order to achieve this purpose, the news analysis system BIG Kinds provided by the Korea Press Promotion Foundation was used to analyze it. The analysis period is from 2018 to 2022, and 42 of the 5,148 news collected were finally used and analyzed. Frequency analysis, relationship map analysis, and related word analysis were performed as analysis methods, and the results are as follows. First, as a result of the frequency analysis related to 'Plogging' in the sports field, keywords such as 'Jeju', 'Players', 'World Marathon', 'SSG', and 'Lee Bong-ju' were identified. Second, as a result of the analysis of the relationship related to 'Plogging' in the sports field, keywords such as 'COVID-19', 'national representative', 'elite', 'masters', and 'COVID' were identified. Third, as a result of the analysis of words related to 'Plogging' in the sports field, keywords such as 'synthesized words', 'volunteer activities,' 'masters untact', 'Jeju', and 'athletes' were identified. In the domestic professional sports field, it has been shown that plogging is actively used for environmental activities and professional team promotion to practice carbon neutrality by international sports organizations.

A Development of Application for Realtime Tracking Plogging based on Deep Learning Model (딥러닝 모델을 활용한 실시간 플로깅 트래킹 어플리케이션 개발)

  • In-Hye Yoo;Da-Bin Kim;Jung-Yeon Park;Jung-Been Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.434-435
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    • 2023
  • 사회 환경적 운동의 하나인 플로깅(Plogging)은 조깅을 하며 길거리의 쓰레기를 줍는 행위를 소셜 네트워크 서비스(SNS) 등에 기록하는 사회 환경적 운동의 일환이다. 그러나, 활동 지역이나 쓰레기의 종류 및 양 등을 직접 입력해야 하는 불편함으로 인해 이러한 활동의 확대를 저해할 수도 있다. 본 연구는 이러한 활동 기록를 자동으로 트래킹하고 기록할 수 있는 딥러닝 기반의 플로깅 트래핑어플리케이션을 개발하였다. CNN과 YOLOv5를 사용하여 학습된 이미지 인식 모델은 높은 성능으로 쓰레기의 종류와 양을 인식하였다. 이를 통해 사용자는 더욱 편리하게 플로깅 활동을 기록할 수 있었으며, 수거한 쓰레기의 양이나 활동 거리를 활용한 리워딩 시스템으로 사용자 간의 건전한 경쟁을 유도하는데 활용할 수 있다.

Deactivation of V2O5/TiO2 catalytic system on the sulfuric oxides (V2O5/TiO2 촉매시스템의 황산화물에 대한 비활성화 특성)

  • Jang, Hyun Tae;Cha, Wang Seog
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7433-7438
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    • 2015
  • Deactivation characteristics of $V_2O_5/TiO_2$ catalysts were studied for selective catalytic reduction(SCR) of NOx with ammonia in the presence of $SO_2$. Performance of catalyst was investigated for $deNO_x$ activity while changing temperature, $SO_2$ concentration. The activity of catalyst was decreased with the increase of $SO_2$ concentration and reaction time. Also, degree of activity drop was largely decreased with the increase of reaction temperature in the range of $250{\sim}300^{\circ}C$. Physicochemical properties of deactivated catalysts were characterized by BET, XRD, SEM, TPD analysis. According to the analysis results, deactivation phenomena occur due to the relatively high formation of ammonium sulfate salts, which created by unreacted ammonia and water in the presence of $SO_2$. It was revealed that ammonium sulfate cause the pore plogging of support and deposition of active matter.