• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.6
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• pp.119-128
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• 2020

An ultrasonic multiple scattering simulation using cross-section of fine dust particles were proposed. These days, along with awareness of air pollution, social interest in fine dust is increasing. In the construction field, awareness of fine dust is increasing, and research on preparing various countermeasures is underway. The light scattering method fine dust meter currently in use is affected by environmental factors such as relative humidity, and reliability problems in terms of accuracy are continuously reported. However, the transmission of ultrasonic waves can directly reflect the physical change of the medium based on the mechanical wave. Using these advantages of ultrasonic waves, fine dust measurement simulation was performed using the scattering cross section and ultrasonic multiple scattering theory. The shape data of the fine dust particles were collected using a SEM (Scanning Electron Microscope), and a cross-section according to the fine dust particles was derived through numerical analysis. As a result of signal processing, the error for the number density corresponding to each cross-section is minimum 19, maximum 3455.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.374-385
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• 2022

Purpose: Even if a damage is applied to the dust of the construction site containing the first-class carcinogen, it is dismissed or 5~30% of the amount of noise damage compensation is paid., Because of such loopholes, some construction companies are neglecting the dust management of the construction site, and the damage of the workers and the residents in the construction site continues. Method: The purpose of this study is to examine the problems of the calculation criteria of damage compensation amount of construction site dust, the measurement of dust concentration, the analysis of measurement data (the data of electric signboard measuring device by the mining scattering method), the prediction and evaluation methods such as modeling, and to suggest improvement measures. Result: It is found that it is impossible to calculate the amount of damages from dust damage in the construction site by calculating the current dust damage compensation amount and dust concentration modeling and measurement. Conclusion: It will receive an application for compensation for damage within the site where damage is expected (about 100m in the straight line and the boundary line of the site), and present a method of calculating the amount of compensation that differentially evaluates dust damage to the degree of dust management and compliance with dust-related legal standards.

• Journal of Environmental Impact Assessment
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• v.27 no.4
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• pp.378-393
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• 2018

As atmospheric fine dust problems in Korea become more serious, there are growing needs to find the concentration of fine particles in indoor and outdoor areas and there are increasing demands for sensor-based portable monitoring devices capable of measuring fine dust concentrations instantly. The low-cost portable monitoring devices have been widely manufactured and used without the prescribed certification standards which would cause unnecessary confusion to the concerned public. To evaluate the reliability those devices and to improve their usability, following studies were conducted in this work; 1) The comparisons between sensor-based devices and comparison with more accurate devices were performed. 2) Several experiments were conducted to understand usefulness of the portable monitoring devices. As results, the absolute concentration levels need to be adjusted due to insensitivity of the tiny light scattering sensors in the portable devices, but their linearity and reproducibility seem to be acceptable. By using those monitoring devices, users are expected to have benefits of recognizing the changes of concentration more quickly and could help preventing themselves from the adverse health impacts.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2009.10a
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• pp.270-271
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• 2009

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.280-287
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• 2016

In railway tunnels, dust is generated when trains run due to the contact between the wheels and the rails. The generated dust is suspended due to the train-induced airflow, with some of it deposited due to gravitational sedimentation. In this study, the diurnal variation of the dust concentration was investigated in a railway tunnel. A single lane of a tunnel was selected in which to observe more easily the dust concentration due to the passing of a train. Four particle-measuring instruments were utilized to detect dust ranging from 5nm to $20{\mu}m$. To synchronize the train passing time at the measuring location, a three-dimensional ultrasonic anemometer and a video camera were used. It was found that the dust concentration was significantly increased from $50{\mu}g/m^3$ to $150{\mu}g/m^3$ due to the train. Particularly, the dust concentration was greatly increased to more than $250{\mu}g/m^3$ during the morning rush-hour times.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.294-301
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• 2013

The particle matter concentrations in the subway stations should be monitored and controlled for the health of commuters on the subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation are measuring several air pollutants regularly. In this paper, the reliability of the cheap instruments using light scattering method is improved with the help of a linear regression analysis technique to measure the $PM_{10}$ concentrations continuously in the subway stations. In addition, a monitoring system is implemented to display and record the data of $PM_{10}$, $CO_2$, humidity, and temperature. To transmit and receive these measured sensor data, CDMA M2M wireless communication method is applied.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.3
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• pp.196-201
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• 2011

Emission from meat cooking may contribute to the concentration of the Particulate Matters(PM) in the city. This study is to investigate the particle size and the emission characteristics of particulate matters from pork and beef cooking. The chamber was installed for sampling of PM generated from pork belly and beef sirloin cooking including seasoned ones. Cascade Impactor and Portable Aerosol Monitor (PAM) were used to analyse the particle size distribution. At the result of the Cascade Impactor sampling, particulate matters from the pork cooking was higher than that of beef. The gravimetric concentration of PM according to the size was highest at the range of $1.95{\sim}3.2{\mu}m$ and the gravimetric concentration of PM from the non-seasoned meat was higher than that of the seasoned one. The emission factors from pork, pork seasoned, beef and beef seasoned were 1.36 g/kg, 1.03 g/kg, 1.23 g/kg, 0.92 g/kg respectively. To see the result of PAM sampling, the ranges of $1.6{\sim}2.5{\mu}m$ and $2.5{\sim}3.5{\mu}m$ were reveled as highest. The ration of $PM_{2.5}/PM_{10}$ from pork and beef was 0.56~0.58. The emission factors from pork, pork seasoned, beef and beef seasoned measured by PAM were revealed as 3.37 g/kg, 2.76 g/kg, 2.93 g/kg, 2.77 g/kg respectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.573-581
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• 2020

Using CCTV images and weather parameters, a method for estimating PM (Particulate Matter) index was proposed, and an experiment was conducted. For CCTV images, we proposed a method of estimating the PM index by applying a deep learning technique based on a CNN (Convolutional Neural Network) with ROI(Region Of Interest) image including a specific spot and an full area image. In addition, after combining the predicted result values by deep learning with the two weather parameters of humidity and wind speed, a post-processing experiment was also conducted to calculate the modified PM index using the learned regression model. As a result of the experiment, the estimated value of the PM index from the CCTV image was R2(R-Squared) 0.58~0.89, and the result of learning the ROI image and the full area image with the measuring device was the best. The result of post-processing using weather parameters did not always show improvement in accuracy in all cases in the experimental area.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1994.06a
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• pp.56-64
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• 1994

탄성유체윤활 (elastohydrodynamic lubrication : EHL)이론은 구름 베어링, 기어 및 캠기구 등과 같이 집중 하중을 받는 기계 요소에서의 윤활 현상을 설명하는 이론으로서, 윤활부분에서 금속 접촉이 발생하지 않도록 기계요소를 설계하기 위하여 필요한 최소유막두께를 결정하는 데 사용된다. 그리이스는 대표적인 윤활제로서 구름 베어링의 윤활에 있어서 중요한 위치를 점하고 있다. 현재 집중 하중을 받는 기계 요소의 윤활에는 윤활 구조의 간편화, 보수의 용이성, 먼지나 이물의 침입 방지 등에 유리한 그리이스 윤활의 사용이 확대되고 있다. 현재 전동기, 가정용 전기기기, 측정기 등에 쓰이는 구름 베어링의 경우는 거의 전량 그리이스 윤활이 사용되고 있다. 지금까지의 연구는 유동특성상의 복잡성 때문에 무한장 선접촉 등온 EHL 문제에 대한 해석이었고, 아직까지는 그리이스 윤활 TEHL 해석에 관한 연구는 발표된 바 없다. 본 연구에는 Herschel-Bulkley 모델 그리이스 EHL문제를 열탄성유체윤활해석하여 보다 정확한 접촉부의 압력분포와 유막형상을 예측하고자 한다.

• Journal of the Korean Society for Railway
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• v.20 no.1
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• pp.11-19
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• 2017

Since operation of railway trains is a major source of particle pollution in tunnel air, a particle removal device can be an effective measure to remove wear particles. To obtain design conditions of the particle removal device that will be installed underneath the railway trains, the wind speed and particle concentration underneath the trains were investigated using a three-dimensional ultrasonic anemometer and a DustTrak aerosol monitor, respectively. The measurements were made for the trains running on Seoul Metropolitan Subway Line 5 on February 10, 2015. The data were analyzed according to the track geometry (straight, curved) and train speed pattern (acceleration, cruising, and deceleration) between stations. Train speed was also analyzed. The average wind speed and $PM_{10}$ concentration underneath the trains were ~30% of the train speed and ${\sim}200{\mu}g/m^3$ for both straight and curved sections. Average $PM_{10}$ concentration for deceleration sections was higher than that for acceleration sections.