• Title/Summary/Keyword: $CO_2$ 모니터링

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Development of Earthquake Early Warning System nearby Epicenter based on P-wave Multiple Detection (진원지 인근 지진 조기 경보를 위한 선착 P파 다중 탐지 시스템 개발)

  • Lee, Taehee;Noh, Jinseok;Hong, Seungseo;Kim, YoungSeok
    • Journal of the Korean Geosynthetics Society
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    • v.18 no.4
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    • pp.107-114
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    • 2019
  • In this paper, the P-wave multiple detection system for the fast and accurate earthquake early warning nearby the epicenter was developed. The developed systems were installed in five selected public buildings for the validation. During the monitoring, a magnitude 2.3 earthquake occurred in Pohang on 26 September 2019. P-wave initial detection algorithms were operated in three out of four systems installed in Pohang area and recorded as seismic events. At the nearest station, 5.5 km from the epicenter, P-wave signal was detected 1.2 seconds after the earthquake, and S-wave was reached 1.02 seconds after the P-wave reached, providing some alarm time. The maximum accelerations recorded in three different stations were 6.28 gal, 6.1 gal, and 5.3 gal, respectively. The alarm algorithm did not work, due to the high threshold of the maximum ground acceleration (25.1 gal) to operate it. If continuous monitoring and analysis are to be carried out in the future, the developed system could use a highly effective earthquake warning system suitable for the domestic situation.

Fabrication of Optical Sheet for LED Lighting with Integrated Environment Monitoring Sensors (환경모니터링 센서가 집적된 LED 조명용 광학시트 제작)

  • Choi, Yong Joon;Lee, Young Tae
    • Journal of the Semiconductor & Display Technology
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    • v.12 no.3
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    • pp.35-39
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    • 2013
  • In this paper, we developed an optical sheet for LED lighting with integrated $CO_2$ gas and temperature sensor which can monitor at the indoor environment. The optical sheet for LED lighting is fabricated through PMMA(Polymethyl methacrylate) injection process using mold. This research enables to fabricate the reflective sheet, light-guide plate and the prism sheet in a optical sheet. The fabricated sheet demonstrates higher intensity of optical efficiency compared with single-sided sheets. The $CO_2$ sensor was fabricated using NDIR(NON-Dispersive Infrared) method and it has $0.0235mV/V{\cdot}PPM$ sensitivity. The temperature sensor was fabricated using RTD(Resistance temperature detector) method and it has $0.563{\Omega}/^{\circ}C $sensitivity.

A Study of Monitoring and Control Model of Closed Cycle Diesel Propulsion System using Microprocessor ($\mu$-processor를 이용한 폐쇄사이클 디젤추진시스템의 모니터링 및 제어모델에 관한 연구)

  • 유춘식
    • Journal of Advanced Marine Engineering and Technology
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    • v.28 no.6
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    • pp.894-905
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    • 2004
  • The closed cycle diesel propulsion system is free from the problem of the intake air, exhaust gas and their control that are associated with the conventional diesel propulsion system. The system is composed of a main engine, an exhaust cooler. a $CO_2$ scrubber and a $O_2$ mixer. In this paper, a hardware using microprocessor is proposed in order to monitor and control the oxygen and ratio of specific heat for underwater diesel propulsion system. Also simulation is carried out to ascertain the performance of proposed system.

Real-time High Resolution PM Monitoring in Seoul (서울지역 미세먼지의 실시간 고해상도 모니터링 방안)

  • Kang, Doo Soo;Bong, Choon Keun;Kim, Dae Seong
    • Particle and aerosol research
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    • v.15 no.2
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    • pp.67-78
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    • 2019
  • Since existing measurement sites are required to construct a high-cost PM measuring device and a measuring site of a large area, there is a limit to the construction of a high-resolution measurement network. Therefore, it is necessary to develop a low-cost, high-performance PM measuring device (as an alternative technology) that can increase the resolution of PM measurement, and it is necessary to establish a base to provide real-time PM information for whole people. Therefore, in this study, the alternative technique (light scattering method) for achieving the above object was examined, performance evaluation was carried out, and it was verified that the light scattering method was usable. Various PM measurement results were compared and analyzed to find PM monitoring points and resolutions we would like to propose.

Development of Multi-function Sensor Integration Module System for Smart Green Building (스마트 그린빌딩 구현을 위한 다기능 센서 통합 모듈 시스템 개발)

  • Kim, Bong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.4799-4804
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    • 2013
  • Green IT technology for the growth of low-carbon green environment and future development of the new technology. Therefore, in this paper, data generated by the security module for RFID applications, smart green building Sung multi-function sensor integrated module that can be integrated environment for building monitoring and management system has been developed. The development of a thermal sensor, temperature sensor, smog sensor, CO2 sensor, O2 sensor, tension sensor and damage detection sensor module with integrated system module integrated multi-functional sensors implemented in the paper. In real-time monitoring by allowing was design and developed system that can be implemented smart green building environment for the environment inside buildings.

Design of Database and System for Application of Forest Biomass (산림바이오매스 활용을 위한 데이터베이스 및 시스템 설계)

  • Lee, Hyun Jik;Koo, Dae Soung;Ru, Ji Ho
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.13-20
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    • 2013
  • Due to the global warming, international agreements have been propelled by industrialized countries. These days, there are various studies and projects to reduce the carbon emission quantity in South Korea, because South Korea is a strong candidate for a newly industrialized nation by Kyoto Protocol. Therefore, this study arranges plans to create various thematic map by producing database that can manage various datum based on grid spatial objects to manage quantity of forest biomass and carbon dioxide. Moreover, this study designs a system to create forest biomass by using the best method of calculation with LiDAR data and KOMPSAT-2 satellite images. In addition, this study designs a biomass monitoring system for public institutions to register biomass, suggesting actual plans to extract, manage, and utilized forest biomass.

Monitoring Decreases in the Patulin Level of Apple Juice using Response Surface Methodology (반응표면 분석에 의한 사과 주스의 Patulin 감소 조건 모니터링)

  • Baek, Chang-Ho;Park, Nan-Young;Jeong, Yong-Jin
    • Food Science and Preservation
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    • v.17 no.1
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    • pp.84-90
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    • 2010
  • We investigated methods to minimize patulin content during processing of apple juice in Korea. Ascorbic acid concentration (100, 200, 300, and 400 ppm) and activated carbon concentration (50, 100, 150, and 200 ppm) were the parameters assessed by response surface methodology. Residual patulin was lowest in the presence of 237.77 ppm ascorbic acid and 106.58 ppm activated carbon, and increased as these levels increased. Sugar content was affected more byascorbic acid concentration than by activated carbon level, and the total phenol content was revealed to be the saddle point. In addition, the expected total flavonoid content was maximized with increased levels of ascorbic acid and activated carbon. The data showed that 246-274 ppm (v/v) ascorbic acid and 93-122 ppm (v/v) activated carbon were optimal for juice extraction, and the $R^2$ quality factor for juice processing was significant and within the range of 1-10% for all tested parameters.

Automation of Fuel Filter Manufacturing Process Via IT Convergence (IT융합기반의 연료필터 제조공정 자동화)

  • Yun, Suck-Chang;Han, Woo-Hyun;Yoon, Dal-Hwan
    • Journal of IKEEE
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    • v.19 no.1
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    • pp.64-72
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    • 2015
  • In this paper, we have developed the gantry automation system via information technology (IT) to improve the productivity of fuel filter manufacturing process. The monitoring system of manufacturing process plays an important role in analyzing the defective products as well as improving the production yield rate. The experimental results of 3 months with 10000 samples validate that the error rate is decreased from 0.65 % to 0.45 %. Also, the defect of raw material is decreased via monitoring of material tools which can notify the time for replacement and accurate insertion of raw materials to the loader. The productivity is increased by reducing the process time from 94.7 sec to 78.8 sec per raw material through comparing the whole manufacturing courses : from inserting of raw material to outcome of product. The process time is decreased by 20.2 % by automation of inserting and outcome course. Moreover, safety of worker as well as reduction of transfer time are highly related with increase of productivity.

Comparison of Atmospheric Carbon Dioxide Concentration Trend and Accuracy from GOSAT and AIRS data over the Korean Peninsula (한반도 지역에서의 이산화탄소 변화 경향과 AIRS, GOSAT 위성 자료의 정확도 비교)

  • Lee, Sanghee;Kim, Jhoon;Cho, Hi-Ku;Goo, Tae-Young;Ou, Mi-Lim;Lee, Jong-Ho;Yokota, Tatsuya
    • Korean Journal of Remote Sensing
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    • v.31 no.6
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    • pp.549-560
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    • 2015
  • With the global scale impact of atmospheric $CO_2$ in global warming and climate system, it is necessary to monitor the $CO_2$ concentration continuously on a global scale, where satellite remote sensing has played a significant role recently. In this study, global monthly $CO_2$ concentrations obtained by satellite remote sensing were compared with ground-based measurements at Anmyeon-do and Gosan Korean Global Atmosphere Watch Center. Atmospheric $CO_2$ concentration has increased from 371.87 ppm in January 1999 to 405.50 ppm in December 2013 at Anmyeon-do station (KMA, 2013). Comparison of the continuous measurements by flask air sampling at Anmyeon-do shows the same trend and seasonal variations with those of global monthly mean dataset. Nevertheless, the trends of $CO_2$ over Northeast Asia showed the higher than those of global and the trends also changes with different slope. $CO_2$ products derived from Greenhouse Gases Observing Satellite (GOSAT) and Atmospheric Infrared Sounder (AIRS) were compared with ground-based measurement at Anmyeon-do. The monthly mean values of GOSAT and AIRS data are systemically lower than those obtained at Anmyeon-do, however, the seasonal cycle of satellite products present the similar trend with values of global and Anmyeon-do. The accuracy of $CO_2$ products from GOSAT and AIRS were evaluated statistically for two years from January 2011 to December 2012. GOSAT showed good correlation with the correlation coefficient, RMSD and bias of 0.947, 5.610 and -5.280 to ground-based measurements respectively, while AIRS showed reasonable comparison with 0.737, 8.574 and -7.316 at Anmyeon-do station, respectively.

Development of Monitoring System Using Residual Gas Analyzer (RGA) and Artificial Intelligence Modeling (잔류가스 분석기(RGA)와 인공지능 모델링을 이용한 모니터링 시스템 개발)

  • Ji Soo Lee;Song Hun Kim;Gyeong Su Kim;Hyo Jong Song;Sang-Hoon Park;Deuk-Hoon Goh;Bong-Jae Lee
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.2
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    • pp.129-134
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    • 2024
  • This study aims to talk about the necessity of solving the PFC gas emission problem raised by the recent development of the semiconductor industry and the remote plasma source method monitoring system used in the semiconductor industry. The 'monitoring system' means that the researchers applied machine learning to the existing monitoring technology and modeled it. In the process of this study, Residual Gas Analyzer monitoring technology and linear regression model were used. Through this model, the researchers identified emissions of at least 12700mg CO2 to 75800mg CO2 with values ranging from ion current 0.6A to 1.7A, and expect that the 'monitoring system' will contribute to the effective calculation of greenhouse gas emissions in the semiconductor industry in the future.

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