• Horticultural Science & Technology
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• v.30 no.3
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• pp.270-277
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• 2012

Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.

• 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.

• Journal of Welding and Joining
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• v.18 no.2
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• pp.170-170
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• 2000

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.11
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• pp.1256-1261
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• 2009

Today, implementation of the defect detection in laser welding has been researched for a long time, but most studies have been made around thin plate within $1{\sim}3mm^t$. Therefore, this study was measured and analyzed light emission signals of the induced plasma in $CO_2$ laser lap welding of $6mm^t$ Zn primer-coated steel, and based on this analysis, research made an investigation into possibility of monitoring in thick plate welding. It was been analyzing the measured signals by RMS and FFT processing, as a results, we were able to confirm definite difference of two signals between humping bead and sound bead. Thus, possibility of real time monitoring in $CO_2$ laser lap welding verified experimentally.

• Geophysics and Geophysical Exploration
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• v.9 no.1
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• pp.1-9
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• 2006

Geological storage of captured $CO_2$ is a new way of reducing greenhouse gas emissions to protect the climate, but is based on the established technology associated with injection of fluids underground. The geological formations of interest for this technique include operational and depleted oil and gas fields, and deep saline aquifers. Prediction of storage performance will depend on models of the behaviour of $CO_2$ in geological formations; these need to be refined and verified, and methods of monitoring developed and proved. These needs can be met through monitored demonstration and research projects. Current commercial projects that are demonstrating $CO_2$ storage include Sleipner, Weyburn, ORC, and In Salah; research projects include West Pearl Queen, Nagaoka, and Frio. In this paper, some of the monitored injection projects are described. The reservoirs employed for storing $CO_2$, and the associated monitoring techniques, are briefly reviewed. It is argued that small-scale research projects, used to develop techniques and prove models, are complementary to the large-scale monitored injections that will establish the viability of this technique for mitigating climate change.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.273-281
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• 2018

The purpose of this study is to consider the effectiveness of continuous $CO_2$ emission monitoring in waste incinerator. To prevent global warming, many countries are trying to reduce $CO_2$, the main greenhouse gas. Currently, Korea is implementing an emission trading scheme to reduce $CO_2$, and waste incinerators are included in this scheme as major $CO_2$ sources. However, when using waste incinerators, $CO_2$ is discharged during incineration of various types of wastes, therefore it is very difficult to calculate the amount of emissions according to IPCC guidelines. In addition, the estimation of $CO_2$ emissions by calculation is known to lack of accuracy comparing with actual emissions. Currently, Korea is operating CleanSYS, which enables continuous measurement of gases emitted into the atmosphere. Therefore, it is possible to estimate the $CO_2$ emissions of waste incineration facilities. The IPCC, which published $CO_2$ emission calculation guidelines, recognizes that direct measurement of emission is a more advanced method in cases of various $CO_2$ emission sources such as a waste incineration facility. Also, Korean emission trading scheme guidelines allow estimation of $CO_2$ emissions by continuous measurement at waste incineration facilities. Therefore, this study considers the effectiveness of a direct measurement method by comparing the results of CleanSYS with the calculation method suggested by the IPCC guidelines.

• Proceedings of the KWS Conference
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• 1998.10a
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• pp.157-159
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• 1998

• Proceedings of the KWS Conference
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• 1998.05a
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• pp.193-194
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• 1998

• Proceedings of the Korean Society of Laser Processing Conference
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• 1999.11a
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• pp.53-55
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• 1999

• Proceedings of the Korean Society of Laser Processing Conference
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• 2000.06a
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• pp.20-23
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• 2000