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대기환경에서 광산란 미세먼지 측정기의 PM<sub>2.5</sub> 보정계수 산정
김종범,김단비,노수진,윤관훈,박덕신,이정주,김정호,Kim, Jong Bum,Kim, Danbi,Noh, Sujin,Yoon, Kwan Hoon,Park, Duckshin,Lee, Jeong Joo,Kim, Jeongho 한국입자에어로졸학회 2020 Particle and Aerosol Research Vol.16 No.2
Various devices have been developed to the measurement of particulate matter pollutants, and Optical Particle Counter (OPC) that can be easily and quickly measured is widely used lately. The measured value by OPC is converted to weight concentration using the correction factor (CF). The calculation of CF is very important to improve the reliability and accuracy of OPC. In this study, the CF calculation study of light scattering laser photometer (model 8533, TSI) was carried out to measure in the atmospheric environment using 2 gravimetric devices and 3 light scattering laser photometer devices. Regression analysis and Tukey tests were used to significance the test of measurement devices. Measurements were carried out twice. There was a comparative analysis of measurement data between light scattering laser photometer and gravimetric devices in 1st measurement, and then the Evaluation of PM2.5 concentration corrected by CF performed in 2nd measurement. As a result of the significance analysis between light scattering laser photometer and gravimetric devices, the correlation between the same method was high, but the correlation between different methods was low. CF was calculated as 0.4258 based on the measurement results, and it is a similar level to previous studies at home and abroad. It is expected that these results can be used as basic data in the future study for air quality measurement research using light scattering laser photometer. Also, in order to improve the accuracy of the measurement techniques and the development of technology in the atmospheric environment, CF calculation research should be conducted continuously.
이동측정차량을 활용한 부천시 대기오염의 공간 분포 특성 연구
김종범,김창혁,노수진,황은영,박덕신,이정주,김정호,Kim, Jong Bum,Kim, Chang Hyeok,Noh, Sujin,Hwang, Eun Young,Park, Duckshin,Lee, Jeong Joo,Kim, Jeongho 한국입자에어로졸학회 2021 Particle and Aerosol Research Vol.17 No.1
As a large city advanced, the urban environment is becoming an issue. The contribution of vehicle emissions in air pollutants was very high according to the clean air policy support system (CAPSS). In order to improve the air quality in large cities, it is necessary to establish improvement measures by sources, analyzing the air quality of roadside. We divided Bucheon city into 4 regions to investigate the roadside pollutants of each district using the mobile laboratory (ML) and air quality monitoring station (AQMS). ML was used to measure pollutants emitted from vehicles and AQMS data was used as a comparison group of ML data. As a measurement result of pollutants in the roadside, the concentration of air pollutants in industrial & engineering complex area was the highest and concentration of air pollutants in residential & forest complex area was lower. By street, Bucheon-ro, Sinheung-ro, Sosa-ro, and Gyeongin-ro were identified as high concentrations. Therefore, further researches on preparing management measures for roads in the hot-spot area are needed.
조준희(Cho Junhee),김혁진(Kim hyeokjin),박경주(Park gyeongju),노수진(Noh sujin),최희정(Choi Heejung),윤익준(Yoon Ikjune) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.6
초기의 어린이집 등하원 알림 방식은 보안적 측면에서 신뢰할 수 있는 정보를 재공하지 못했다. 추후 연구를 통해 라즈베리파이 얼굴인식을 이용한 등하원 알림 방법이 개발되었고 이는 기존의 NFC와 Beacon을 사용한 방법들 보다 높은 신뢰성을 가지게 되었다. 이 논문에서는 더 정확한 얼굴인식을 위해 Haar Cascade와 LBP 알고리즘을 사용하여 개인의 얼굴 학습 및 인식 방법을 제안하고 FCM을 통해 알림서비스를 제공한다. The initial daycare center access notification method did not provide reliable information in terms of security. Through further research, a method of access notification using Raspberry Pi face recognition was developed, and This has become more reliable than the existing methods using NFC and Beacon.. In this paper, we propose an individual’s facial learning and recognition method using Haar Cascade and LBP algorithms for more accurate face recognition, and It provides notification service through FCM.