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      공장 대기오염 모니터링 응용의 규모 확대를 위한 컨테이너화된 접근법 = A Containerized Approach to Scaling-Up of Factory Air Pollution Monitoring Applications

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      https://www.riss.kr/link?id=A108551673

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The deterioration of air quality stems from air pollutants emitted by industrial sectors. Government agencies in many countries regulate the total amount of emissions released during production, necessitating a continuous monitoring system to measure specific air pollutants. However, the existing systems are tailored to a specific plant, making it difficult to incorporate sophisticated components like streaming data processing engines. To address this issue, we propose a containerized approach that bundles rich components for continuous emission monitoring and enables rapid deployments in a new plant. We demonstrate the effectiveness of our approach using datasets obtained from real-world factory production.
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      The deterioration of air quality stems from air pollutants emitted by industrial sectors. Government agencies in many countries regulate the total amount of emissions released during production, necessitating a continuous monitoring system to measure ...

      The deterioration of air quality stems from air pollutants emitted by industrial sectors. Government agencies in many countries regulate the total amount of emissions released during production, necessitating a continuous monitoring system to measure specific air pollutants. However, the existing systems are tailored to a specific plant, making it difficult to incorporate sophisticated components like streaming data processing engines. To address this issue, we propose a containerized approach that bundles rich components for continuous emission monitoring and enables rapid deployments in a new plant. We demonstrate the effectiveness of our approach using datasets obtained from real-world factory production.

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      참고문헌 (Reference)

      1 A. Blackman, "The Use of Economic Incentives in Developing Countries : Lessons from International Experience with Industrial Air Pollution" 9 (9): 5-44, 2000

      2 J. Krämer, "Semantics and Implementation of Continuous Sliding Window Queries over Data Streams" 34 (34): 1-49, 2009

      3 M. Asgari, "Predictive Mapping of Urban Air Pollution Using Apache Spark on a Hadoop Cluster" 89-93, 2017

      4 P. Asha, "IoT Enabled Environmental Toxicology for Air Pollution Monitoring using AI Techniques" 205 : 2022

      5 M. Kampa, "Human Health Effects of Air Pollution" 151 (151): 362-367, 2008

      6 G.P. Gupta, "Framework for Error Detection and its Localization in Sensor Data Stream for Reliable Big Sensor Data Analytics using Apache Spark Streaming" 167 : 2337-2342, 2020

      7 Muneeb A. Khan ; 김현철 ; 박희민, "Exploiting Neural Network for Temporal Multi-variate Air Quality and Pollutant Prediction" 한국멀티미디어학회 25 (25): 440-449, 2022

      8 S. Ameer, "Exploiting Big Data Analytics for Smart Urban Planning" 1-5, 2018

      9 P. Agnihotri, "Design of Air Pollution Monitoring System Using Wireless Sensor Network" 33-38, 2020

      10 J.A. Jahnke, "Continuous Emission Monitoring" John Wiley and Sons 2022

      1 A. Blackman, "The Use of Economic Incentives in Developing Countries : Lessons from International Experience with Industrial Air Pollution" 9 (9): 5-44, 2000

      2 J. Krämer, "Semantics and Implementation of Continuous Sliding Window Queries over Data Streams" 34 (34): 1-49, 2009

      3 M. Asgari, "Predictive Mapping of Urban Air Pollution Using Apache Spark on a Hadoop Cluster" 89-93, 2017

      4 P. Asha, "IoT Enabled Environmental Toxicology for Air Pollution Monitoring using AI Techniques" 205 : 2022

      5 M. Kampa, "Human Health Effects of Air Pollution" 151 (151): 362-367, 2008

      6 G.P. Gupta, "Framework for Error Detection and its Localization in Sensor Data Stream for Reliable Big Sensor Data Analytics using Apache Spark Streaming" 167 : 2337-2342, 2020

      7 Muneeb A. Khan ; 김현철 ; 박희민, "Exploiting Neural Network for Temporal Multi-variate Air Quality and Pollutant Prediction" 한국멀티미디어학회 25 (25): 440-449, 2022

      8 S. Ameer, "Exploiting Big Data Analytics for Smart Urban Planning" 1-5, 2018

      9 P. Agnihotri, "Design of Air Pollution Monitoring System Using Wireless Sensor Network" 33-38, 2020

      10 J.A. Jahnke, "Continuous Emission Monitoring" John Wiley and Sons 2022

      11 D. Iskandaryan, "Air Quality Prediction in Smart Cities using Machine Learning Technologies based on Sensor Data : a Review" 10 (10): 2401-, 2020

      12 T.W. Ayele, "Air Pollution Monitoring and Prediction using IoT" 1741-1745, 2018

      13 S. Walling, "A Low-Cost Real-Time IoT Based Air Pollution Monitoring Using LoRa" 1-6, 2019

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