• Journal of the Korean Society of Safety
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• v.27 no.1
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• pp.1-6
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• 2012

In crowded subway stations indoor air quality (IAQ) is a key factor for ensuring the safety and health of passengers. Since physical variables that describing IAQ such as the concentration of particulate, $CO_2$, VOCs and biological agents need to be closely monitored and controlled in multiple locations within subway stations and in remote sites, concept of web-based monitoring and control network using both wireless and wired media needs to be implemented. Connecting remote wireless sensor network and device (LonWorks) networks to the IP network based on the concept of VDN can provide a powerful, integrated, distributed monitoring and control performance. In this study, performance of wireless and wired network in VDN for monitoring and control of IAQ in subway stations is evaluated. Specifically, delay induced in wireless and wired networks, and data transmission rate are evaluated. A key parameter is identified in assuring safety and health of passengers in subway stations.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.57-65
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• 2021

We propose a novel method to detect abnormal data of specific symptoms using deep learning in air pollution measurement system. Existing methods generally detect abnomal data by classifying data showing unusual patterns different from the existing time series data. However, these approaches have limitations in detecting specific symptoms. In this paper, we use DeepLab V3+ model mainly used for foreground segmentation of images, whose structure has been changed to handle one-dimensional data. Instead of images, the model receives time-series data from multiple sensors and can detect data showing specific symptoms. In addition, we improve model's performance by reducing the complexity of noisy form time series data by using 'piecewise aggregation approximation'. Through the experimental results, it can be confirmed that anomaly data detection can be performed successfully.

• Journal of Environmental Impact Assessment
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• v.3 no.2
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• pp.69-75
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• 1994

Environmental Impact Assessment is composed of screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measure, and post management. Environmental monitoring data is applied to EIA process such as prediction and post management. It must he collected and managed systematically for effective applying in EIA process. This article explains factors such as air quality, water quality, soil, ocean, odor, noise & vibration, ecosystem, etc. and organizations of environmental monitoring managed by Ministry of Environment.

• 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.

• Journal of Environmental Science International
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• v.17 no.4
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• pp.385-396
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• 2008

The air quality data is important for understanding and analyzing a surrounding influence. In that light, it is positively necessary for a propriety assessment to determine a location of the air quality monitoring sites. In this study, the climate analysis about temperature and wind, using the meteorological data in the Pohang, is conducted to do that. In the next stage, we distinguished the wind by east-west or north-south component, which has less correlation than temperature, analyzed and divided the wind sector. As the result, the wind circumstance of the Pohang is divided into major 5 wind sector; that is the urban area, the northeast coastal area, the east ocean and the west mountainous area. We think that an analysis on detailed wind sector by utilizing the numerical simulation is needed.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.04a
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• pp.221-223
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• 2008

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.04a
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• pp.187-188
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• 2006

• Particle and aerosol research
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• v.12 no.3
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• pp.81-94
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• 2016

Managing hazardous air pollutants (HAPs) becomes an important issue with the amendment of the Clean Air Conservation Act in 2012. In this study, to develop an effective air quality management policy direction against the HAPs in Korea, (1) the HAPs control policies in the USA, United Kingdom, Japan, and the South Coast Air Quality Management District (SQAQMD) are reviewed, (2) the state of the art of the HAPs management in Korea are studied, and (3) policy directions are suggested. It was found that each country has its own policy priority and management directions. It was also found that the current HAPs management status is far behind to the countries compared in HAPs identification, emission inventory, monitoring, modeling, and risk management. Further policy directions are suggested.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1561-1565
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• 2008

More than 3.4 million people use Hong Kong metro a day. It was first constructed in 1979, and extended to 9 operating lines with 168.1km length operated by Hong Kong Mass Transit Railway Corporation (MTR). In Hong Kong, airborne viruses such as avian influenza (bird's flu) and severe acute respiratory syndrome (SARS), air pollution by high-density traffics, bacteria and mold due to relatively high humidity are major concerns on air quality management. In this study, we focused on the cases for improving indoor air quality conducted by Hong Kong MTR currently. The case includes the photocatalytic coatings on knobs (or hand straps) to prevent outbreak of bird's flu and SARS, the high voltage ionizers installed at metro platform, and the periodical radon monitoring.

• Journal of Environmental Science International
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• v.30 no.11
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• pp.967-977
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• 2021

From January 1, 2020, the International Maritime Organization has implemented a global regulation, known as IMO 2020, to reduce the sulfur content in fuel oil of ships from 3.5% to 0.5%. In this study, we used data from air monitoring stations to evaluate the change in air quality at New Port and North Port in Korea areas after the regulation was implemented. The concentration of SO₂ and NO₂ was higher in the port areas than in the surrounding areas due to exhaust gas from ships and vehicles. However, the SO₂ concentration decreased by more than 50% in the port area, demonstrating the efficiency and positive effect of the IMO 2020 sulfur limit.