• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.140-145
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• 2022

In an advanced modern society, among air pollutants caused by urban industrialization and public transportation, fine dust flows into indoors from the outdoors. The fine dust meter used indoors provides limited information and measures the pollution level differently, so there is a problem that users cannot monitor and monitor the data they want. To solve this problem, in this paper, indoor air quality data fine dust and ultra-fine dust (PM1.0, PM2.5, PM10), VOC (Volatile Organic Compounds) and PIR (Passive Infrared Sensor) are used to measure fine dust. and a monitoring system were designed and implemented. We propose a fine dust meter and monitoring system that is installed in a designated area to measure fine dust in real time, collects, stores, and visualizes data through App Engine of Google Cloud Platform and provides it to users.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.91-92
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• 2015

현재 실외 대기 중 미세먼지농도는 한국환경공단으로부터 지역별 실시간 정보를 받아볼 수 있다. 하지만 일반가정이나 사무실, 개개인이 있는 실내의 지속적인 공기상태는 사용자가 직접 미세먼지를 측정하는 기기를 사용하여 측정해야 만이 확인이 가능하기 때문에 쉽게 알기가 어렵다. 언제 어디서든 손쉽게 공기오염도를 측정 할 수 있으며 오염도가 심한 수준일 경우 사용자가 즉시 알 수 있다면 이를 조금 더 손쉽게 예방하고 대처할 수 있을 것이다. 본 논문에서는 공기의 질을 측정 할 수 있는 휴대용 측정기와 개인이나 가정의 실내 공기의 질을 손쉽게 측정할 수 있는 실내측정기를 개발하여 사용자가 실시간으로 측정된 정보를 받을 수 있도록 하는 시스템의 개발내용에 대해 기술한다.

• Air Cleaning Technology
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• v.33 no.3
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• pp.44-53
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• 2020

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.69-77
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• 2019

Among the many factors that threaten the improvement of public health and quality of life, the proportion of fine dust is not so small, and the kinds and causes of the dust are also diversified. However, the domestic measuring instrument is in the initial stage and the certification system is insignificant. Recognizing the threat of fine dust for a long time, the United States has established a protocol of measurement standards and measurement methods and applied the developed fine dust measuring device authentication system. Through this system, the United States is leading the world's fine dust industry, technology and market. The EPA, FRM and FEM of the fine dust-related protocol were analyzed to reduce the harmful effects of repeated fine dust every year. In addition, light scattering method and spectroscopy method which can measure in real time by measuring method were examined, and the types and characteristics of fine dust measuring instrument of international certification level were analyzed. Finally, development and service plan of the domestic fine dust measuring instrument are presented.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.218-236
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• 2023

This study attempted to analyze the environmental equity of fine dust(PM₁₀) in Daegu using MGWR(Multi-scale Geographically Weighted Regression) and KT(Korea Telecom Corporation) sensor data. Existing national monitoring network data for measuring fine dust are collected at a small number of ground-based stations that are sparsely distributed in a large area. To complement these drawbacks, KT sensor data with a large number of IoT(Internet of Things) stations densely distributed were used in this study. The MGWR model was used to deal with spatial heterogeneity and multi-scale contextual effects in the spatial relationships between fine dust concentration and socioeconomic variables. Results indicate that there existed an environmental inequity by land value and foreigner ratio in the spatial distribution of fine dust in Daegu metropolitan city. Also, the MGWR model showed better the explanatory power than Ordinary Least Square(OLS) and Geographically Weighted Regression(GWR) models in explaining the spatial relationships between the concentration of fine dust and socioeconomic variables. This study demonstrated the potential of KT sensor data as a supplement to the existing national monitoring network data for measuring fine dust.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.92-99
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• 2021

Light-scattering fine particulate matter monitors can measure particulate matter (PM) concentrations in every second and can be designed in a portable size. They can measure the concentrations of various PM sizes (PM_1.0, PM_2.5, PM_4.0 and PM₁₀) with a single sensor. They measure the number and size of particulate matters and convert them to weight per volume (concentration). These devices show a large error for asian dust. This paper proposes a scheme that compensates the PM_2.5 concenstration error for asian dust by multiple linear regression machine learning in light-scattering PM monitors. This scheme can be effective with only two or three types of PM sizes. The experimental results compare a beta-ray PM monitor of national institute of environmental research and a light-scattering PM monitor during a month. The correlation coefficient (R²) of theses two devices was 0.927 without asian dust, but it was 0.763 due to asian dust during the entire experimental period and improved to 0.944 by the proposed machine learning.

• Journal of Science Education
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• v.44 no.2
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• pp.183-196
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• 2020

This study explores the effects of STEAM program using Arduino on preservice science teachers toward their STEAM core competencies. The STEAM program using Arduino consists of four stages: presentation of situation, creative design, emotional touch, and evaluation. The preservice science teachers learned the theoretical backgrounds of STEAM and Arduino. Then, they were given the chance to think about an environmental issue, which is fine dust. The preservice teachers designed an air cleaner and a fine dust measuring instrument using Arduino. The preservice science teachers also produced the air cleaner and the measuring instrument using Arduino. They measured the level of fine dust in the classroom before and after the use of the air cleaner. That is, the preservice teachers experienced each stage of STEAM: seriousness of fine dust, design and production of the measuring instrument of fine dust and air cleaner, and evaluation of the effectiveness of air cleaner. Further, they reflected on their experiences of STEAM program using Arduino. The results indicate that these preservice science teachers statistically improved communication competency, problem-solving competency, gathering information competency, logical analytical thinking competency, and creativity competency. However, there were no statistical improvements on teamwork competency and self-development competency. This study suggests that experiencing STEAM program using Arduino is valuable for the preservice science teachers to develop STEAM core competencies and further implement STEAM program their science classes in the future.

• The Journal of Bigdata
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• v.6 no.2
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• pp.39-49
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• 2021

Recently, large and diverse weather data are being collected by sensors from various sources. Efforts to predict the concentration of fine dust through machine learning are being made everywhere, and this study intends to compare PM10 and PM2.5 prediction models using data from 840 outdoor air meters installed throughout the city. Information can be provided in real time by predicting the concentration of fine dust after 5 minutes, and can be the basis for model development after 10 minutes, 30 minutes, and 1 hour. Data preprocessing was performed, such as noise removal and missing value replacement, and a derived variable that considers temporal and spatial variables was created. The parameters of the model were selected through the response surface method. XGBoost, Random Forest, and Deep Learning (Multilayer Perceptron) are used as predictive models to check the difference between fine dust concentration and predicted values, and to compare the performance between models.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.373-376
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• 2022

미세먼지 수집을 위하여 필요한 위치 선정 방안과 위치 선정시 중요한 바람길분석, 수요조사, 유동인구, 교통량 등의 중요 기준을 반영하여 최종 선정하여야 하며, 이에 따라 설치된 측정기로부터 데이터 수집을 위해 지역적, 환경적, 지형적 요소를 감안하여 수집 항목을 결정하여야 한다. 데이터 수집시 실시간 또는 배치(Batch)로 할 것인지 여부를 결정하여야 하며, 이 보고서에서는 실시간으로 데이터 수집하는 경우를 설명하였다. 데이터 수집시 정확도를 높이기 위해 결측값, 이상값인 전처리 단계를 거쳐서 분석과 Modeling 구축을 통하여 정확도가 높은 알고리즘을 선정하여야한다. 정확도가 높은 알고리즘은 검증용 데이터 셋으로 적합성을 검증하여, 측정기 설치 위치의 적합성, 데이터 수집의 적합성, Modeling 구축 및 평가가 적합함을 지표로서 제시하여 적합성 검증을 하고자 한다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.3
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• pp.43-48
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• 2022

A scattering dust collector in automobile brake pads was investigated in this study. The dust scattering was measured by mounting a booth with a particle counter for both the vehicle-induced wind and brake caliper locations. In addition, the collection effect of the dust scattering was analyzed using the designed dust collector. The results of this study can be used to develop an advanced dust collector and the field test modes for dust scattering in an automotive brake system.