• Journal of Korean Society for Atmospheric Environment
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• v.16 no.2
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• pp.89-102
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• 2000

A total of 318 particulate sample sets consisting of both fine PM(FPM : dp$\leq$2.5 ${\mu}{\textrm}{m}$) and coarse PM(CPM : 2.5${\mu}{\textrm}{m}$${\mu}{\textrm}{m}$) was collected by a dichotomous sampler in Suwon area from December 1996 to November 1997. The concentration of seven inorganic elements such as pb. Cr, Cd, Cu, Zn Fe and Na were determined from each sample using an AAS. The purpose of the study was to extensively investigate environmental behaviors of particulate matters and to provide air quality management schemes applying various statistical approaches. The mean concentrations of PM10 Results of correlation analyses indicated the existence of strong correlations among inorganic elements PM10 FPM CPM and various meterological variables. Our study also examined the degree of uncertainties whether the particular elements can be assorted into the accumulation mode or the coarse mode in their size distribution. Furthermore the analysis of the pollution rose showed graphically the direction of potential sources of particulate matters. According to statistical analyses of our data quantitative differences appeared in the pollution patterns between weekdays and weekends.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.2107-2115
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• 2018

Over recent years, high-concentration of particulate matters (e.g., a.k.a. fine dust) in South Korea has increasingly evoked considerable concerns about public health. It is intractable to track and report $PM_{10}$ measurements to the public on a real-time basis. Even worse, such records merely amount to averaged particulate concentration at particular regions. Under this circumstance, people are prone to being at risk at rapidly dispersing air pollution. To address this challenge, we attempt to build a predictive model via deep learning to the concentration of particulates ($PM_{10}$). The proposed method learns a binary decision rule on the basis of video sequences to predict whether the level of particulates ($PM_{10}$) in real time is harmful (>$80{\mu}g/m^3$) or not. To our best knowledge, no vision-based $PM_{10}$ measurement method has been proposed in atmosphere research. In experimental studies, the proposed model is found to outperform other existing algorithms in virtue of convolutional deep learning networks. In this regard, we suppose this vision based-predictive model has lucrative potentials to handle with upcoming challenges related to particulate measurement.

• Applied Chemistry for Engineering
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• v.32 no.6
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• pp.659-663
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• 2021

10 m³/min (CMM) multi-pollutants abatement system was successfully developed by effectively integrating ozone oxidation, wet scrubbing, and wet electrostatic precipitation for the simultaneous removal of particulate matters (PMs) and NOx in a semiconductor fabrication process. The sophisticated control and optimization of operating parameters were conducted to maximize the destruction and removal efficiency of NOx. In particular, the stability test of a wet electrostatic precipitator was carried out in parallel for 30 days to validate the reliability of core parts including a power supply. An O₃/NO ratio, which is the most important operating parameter, was optimized to be about 1.5 and the optimization of wet scrubbing with a reducing agent made it possible to analyze the contribution of neutralization reaction.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.117-137
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• 2020

The development of information technology leads to changes in various industries. In particular, the health care industry is more influenced so that it is focused on. With the widening of the health care market, the market of smart device based personal health care also draws attention. Since a variety of fitness applications for smartphone based exercise were introduced, more interest has been in the health care industry. But although an amount of use of mobile fitness applications increase, it fails to lead to a sustained use. It is necessary to find and understand what matters for mobile fitness application users. Therefore, this study analyze the reviews of mobile fitness application users, to draw key factors, and thereby to propose detailed strategies for promoting mobile fitness applications. We utilize text mining techniques - LDA topic modeling, term frequency analysis, and keyword extraction - to draw and analyze the issues related to mobile fitness applications. In particular, the key factors drawn by text mining techniques are explained through the concept of user experience. This study is academically meaningful in the point that the key factors of mobile fitness applications are drawn by the user experience based text mining techniques, and practically this study proposes detailed strategies for promoting mobile fitness applications in the health care area.

• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.67-87
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• 2001

Variable concept plays a crucial role in understanding not only algebra itself but also school mathematics which is algebra-oriented. It solves as an essential means in applying mathematics to the real world because il enables us to describe varying phenomena in the real world. In this study, we examined some matters related to the learning of variable concept in school mathematics. In Particular, we discussed on the teaching of variable concept in the [7-first] stage of the 7th Mathematics Curriculum. We analysed the textbooks in the [7-first] stage and attempted to explain concretely the contents and teaching methods of variable concept which be taught in school mathematics. After reconsidering the practices on variable concept teaching, we pointed out the problems of formalistic teaching method and then proposed the direction in which variable concept teaching should go.

• KDI Journal of Economic Policy
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• v.38 no.4
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• pp.23-44
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• 2016

Household debt in Korea raises concerns about the resilience of the economy due to its size and quality. Against this backdrop, we investigate if household leverage matters for private consumption in adverse economic environments even without severe financial disruptions. We find that the balance sheet positions in terms of the leverage ratio may weaken consumption growth. We also find that the depressive effect of debt on consumption may differ across types of consumer spending and household characteristics. In particular, the effects of indebtedness have been much stronger in relation to durable goods expenditures than in other areas. In addition, debtors in high-income (wealth) groups have also shown downward adjustments in consumption even more so than low-income (wealth) groups. These findings imply that debtors' precautionary behavior may serve as an important channel from leverage to consumer spending.

• Asian Journal for Public Opinion Research
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• v.1 no.1
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• pp.26-41
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• 2013

The rise and fall of social research methods rely on how much a certain method is able to appropriately reflect the change of society. The present research proposes new mobile surveying methods, considering the current and future trends in Korea. In particular, this research focuses on environmental pressure (time constraints, the presence of others and the place) as one of the major factors influencing the effects of survey modes. For example, landline surveys are conducted in the respondent's home, which is a private and fixed space. On the other hand, surveys on mobile phones can be conducted in diverse places with other people around. After sampling 500 landline respondents and 500 mobile phone respondents using a quota method, the same questionnaire was used for both the mobile and landline interviews. The findings are generally consistent with the literature supporting the data quality and comparability of the mixed mode survey. These results are encouraging for researchers designing surveys that feature mobile phone data collection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1626-1638
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• 2019

Social Networking Sites (SNS) provide people with unique online social interaction environments where users can disclose their thoughts, feelings, and opinions to their personal contacts. Although previous studies have suggested that such activities produce positive effects on SNS user well-being, this study considered potential negative effects by investigating the relationship between SNS use and depression. In particular, This stydy examined how specific activities are related to different types of social comparison (upward/downward/horizontal) and how these different types of social comparison influence depressed moods among college students. The analysis of a survey of 245 Instagram users found that (1) looking at other people's status updates and commenting on other people's photos influences upward social comparison, (2) frequency of Instagram use predicts upward/downward/horizontal social comparison, and (3) upward social comparison was postively associated with depression, while downward social comparison was negatively associated with depression. Furthermore, the path anlaysis show that social comparison mediates the effect of Instagram use on depression. It suggests that Instagram use does not directly increase depression but it can lead to depression when social comparison on Instagram triggers depression.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.86-99
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• 2009

The audience of the performing arts enacted on the stage appreciate acting of the characters in a play to understand its plot, identify with the characters, and comprehend the message and subject matters of the play. Stage make-up in particular should assist audience in comprehending the story without overpowering or distracting the script. Stage make-up is a crucial means to visualize occupation, class, personality, and age of the characters. Thus it is an essential means in producing a high quality performance. The aim of the study is to examine character-emphasis make-up for a play by reviewing theories on the concepts and methods of the stage make-up. The methodology of the study was to analyze character make-up of the adopted play The Madwoman of Chaillot (La Folle de Chaillot) translated from the original French, as a case study. The technique and features of the character make-up of the play were examined, and functions of each factor of the character make-up depending on a role were also examined. The results of the study are as follows. The stage make-up for creating and expressing a distinctive personality of the characters in a play must integrate environmental factors external to a performance such as lighting and scale of a venue. Moreover the stage make-up must adopt and reconstruct internal factors of the play such as interpretation of the original work, subject matters, interpretation of the script, character analysis based on the discussion with a director, and design setting.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.1
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• pp.60-69
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• 2023

Objectives: Business operators handling hazardous chemicals regulated under the Chemical Substances Control Act (CSCA) must receive permits to operate their business from the Ministry of Environment. This study analyzed the status of recent legal violation in chemical handling workplaces in Ulsan where a large volume of chemicals is handled for industrial use. Methods: A total of 557 corporations have been granted legal status as business operators in Ulsan. For all business operators, legal violations in regard to the CSCA that were discovered by the environmental office in the last five years (2018~2022) were thoroughly analyzed. Results: A total of 225 violations of the CSCA have been discovered at 165 corporations, with the violation rate accounting for approximately 27% of all business operators. In particular, 22% of the 165 violators (36 corporations) were discovered to have violated twice or more, and some business operators (6%) even violated in consecutive years. Non-compliance of facility inspection was the most frequent violation (45 cases, 20.1%), followed by non-reporting of important changes in the permitted matters (23 cases, 10.3%), non-completion of legal safety education (19 cases, 8.5%), failure to secure permission for modification in the permitted matters (18 cases, 8.0%), and failure to submit chemical transport plans (16 cases, 7.1%). Conclusions: Most of the violations could have been prevented if the field personnel had paid sufficient attention. Thus, it is fundamentally necessary to create an environment for spontaneous safety management for themselves and to strengthen individual capabilities.