• Journal of Biosystems Engineering
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• v.42 no.4
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• pp.301-313
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• 2017

Purpose: This study was conducted to discriminate between normal hulled barley and Fusarium (Fusarium asiaticum and Fusarium graminearum) infected hulled barley by using the near-infrared spectroscopy (NIRS) technique. Methods: Fusarium asiaticum and Fusarium graminearum were artificially inoculated in hulled barley and the reflectance spectrum of the barley spike was obtained by using a near-infrared spectral sensor with wavelength band in the range 1,175-2,170 nm. After obtaining the spectrum of the specimen, the hulled barley was cultivated in a greenhouse and visually inspected for infections. Results: From a partial least squares discriminant analysis (PLS-DA) prediction model developed from the raw spectrum data of the hulled barley, the discrimination accuracy for the normal and infected hulled barley was 99.82% (563/564) and 100% (672/672), respectively. Conclusions: NIRS is effective as a quick and nondestructive method to detect whether hulled barley has been infected with Fusarium. Further, it expected that NIRS will be able to detect Fusarium infections in other grains as well.

• Atmosphere
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• v.24 no.2
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• pp.151-158
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• 2014

This study investigated a method for the discrimination of precipitation type using thickness of geopotential height at 1000~850 hPa and improved Matsuo's scheme over South Korea using 7 upper-level observations data during winter time from 2003 to 2008. With this research, it was suggested that thickness between snow and rain should range from 1281 to 1297 gpm at 1000~850 hPa. This threshold was suitable for determining precipitation type such as snow, sleet and rain and it was verified by investigation at 7 upper-level observation and 10 surface observation data for 3 years (2009~2011). In addition, precipitation types were separated properly by Matsuo's scheme and its improved one, which is a fuction of surface air temperature and relative humidity, when they lie in mixed sectors. Precipitation types in the mixed sector were subdivided into 5 sectors (rain, rain and snow, snow and rain, snow, and snow cover). We also present the decision table for monitoring and predicting precipitation types using model output of Korea Local Analysis and Prediction System (KLAPS) and observation data.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.541-548
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• 2016

The use of social media is already essential as a source of information for listening user's various opinions and monitoring. We define social 'risks' that issues effect negative influences for public opinion in social media. This paper aims to discriminate various linguistic features and reveal their effects for building an automatic classification model of social risks. Expecially we adopt a word embedding technique for representation of linguistic clues in risk sentences. As a preliminary experiment to analyze characteristics of individual features, we revise errors in automatic linguistic analysis. At the result, the most important feature is NE (Named Entity) information and the best condition is when combine basic linguistic features. word embedding, and word clusters within core predicates. Experimental results under the real situation in social bigdata - including linguistic analysis errors - show 92.08% and 85.84% in precision respectively for frequent risk categories set and full test set.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.237-243
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• 2019

This study used latent profile analysis to identify heterogeneous subgroups with respect to the perception of work environment among workers in residential facilities for people with disabilities. The final model yielded five latent profiles of the perception of work environment: 'low workload group' who scored low in time pressure and job responsibility, 'discrimination perception group' who scored low in supervisor support and high in sex and academic/regional discriminations, 'positive perception group' who scored high in work autonomy and peer and supervisor supports, 'high workload group' who scored high in workload, time pressure, and job responsibility, and 'average group' who scored average in most areas. In the case of job satisfaction, positive perception group was the highest, followed by average group, low and high workload groups, and discrimination perception group.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Women's Health Nursing
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• v.30 no.2
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• pp.101-106
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• 2024

This paper discusses the implications of the birth notification system and the Protected Birth Act in Korea. Aiming to prevent infanticide and abandonment of infants, the law will enter into force on July 19, 2024 in South Korea. The birth notification system mandates that both parents and the head of the medical institution where the birth occurred must report the event. In parallel, the Protected Birth Act will be implemented, allowing pregnant women in crisis who wish to remain anonymous, the option to give birth outside of a hospital setting in a way that safeguards the life and health of the child. However, many issues are being raised in Korean society in advance of the implementation of the Protected Birth Act. There is widespread concern that the Protected Birth Act fails to protect either women or children, especially as it raises issues regarding the need for legislation to protect children with disabilities and to address gaps for migrant women and children. This paper examines the gender and healthcare issues relating to the Protected Birth Act, focusing on women's health and human rights. The Act continues to perpetuate discrimination against out-of-wedlock pregnancies and upholds the ideology of the traditional family model. Furthermore, the legislative process did not address protective measures for the various reasons behind child abandonment. Critical issues such as women's autonomy, safe pregnancy termination, and paternal responsibility in childbirth are also notably absent. However, with the Act set to take effect soon, it is crucial for healthcare providers to comprehend the rationale and procedures associated with birth notification and the Protected Birth Act, and to prepare for its nationwide implementation. The law defines the socially vulnerable as its main beneficiaries, and it is necessary to strengthen social safety nets to improve their access to healthcare, eliminate prejudice and discrimination against out-of-wedlock pregnancies, and embrace the diversity of our society. We eagerly anticipate future discussions on gender and healthcare issues, as well as amendments to the law that reflect real-world circumstances to provide genuine protection for pregnant women in crisis and their infants.

• Journal of Labour Economics
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• v.30 no.2
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• pp.1-31
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• 2007

The purpose of this paper is to analyse wage differentials between non-regular and regular works. Data from EAPS(Economically Active Population Survey) 2005 show that the monthly wage level of non-regular worker is only 63% of regular worker and thus there exist 37% wage differentials. However, these wage differentials do not control for hours of work, the amount of human capital, job characteristics, and other individual characteristics affecting wages. If these variables are added to the hourly wage regression equation, the wage gap between non-regular and regular workers drastically decreases to 2.2%. Furthermore, decomposition of the wage differentials by Oaxaca method shows that productivity difference between non-regular and regular workers explains up to 91% of the wage gap. This implies that the magnitude of wage discrimination against non-regular workers is at most 0.2% of hourly wage of regular workers. To control for unobserved individual heterogeneities more accurately, we also construct panel data and estimate wage differentials. The results from the panel data approach show that there is no difference in the hourly wages between non-regular and regular workers. In some specifications, the wage rate of non-regular worker is rather higher than that of regular worker. These results are consistent with economic theory. Other things being equal, workers with unstable employment may require higher wages to compensate their unstability. Firms are willing to pay higher wages if they can get more flexibility from non-regular employment. Empirical results in this paper cast doubt on the view that there is wage discrimination against non-regular workers in the labor market. Public policies should be targeted for disadvantaged groups among non-regular workers, not for non-regular workers in general.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.765-775
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• 2021

The purpose of this study is to investigate factors that affect the suicidal ideation of the people with mental disabilities. To this end, the independent variables were analyzed by categorizing them into individual psychological factors, social factors, and demographic characteristics. The analysis data include 969 people with mental disabilities who participated in the 2017 Ministry of Health and Welfare's Research, 'Survey on the Current Status of Mental Disabilities in Community'. The analysis method was frequency analysis, descriptive statistics, and hierarchical multiple regression analysis with SPSS 23.0. As a result of the study, in terms of individual psychological factors, the higher the depression and the lower the mental health confidence, the more suicidal ideation increase. In terms of social factors, the more unregistered disabled groups, the more exposure to violence and discrimination, and the more they live in large cities, the higher their ideation of suicidal. The regression model explained 26.9% of suicidal ideation. The practical and policy implications for the prevention of suicide of the people with mental disabilities based on these results are as follows: First, social factors should be evaluated and considered together, rather than focusing only on individual psychological factors, in seeking policies and intervention programs that reduce suicidal ideation in the people with mental disabilities. Second, in seeking suicide prevention policies for the people with mental disabilities, Protection & Advocacy services should be provided to reduce violence and discrimination experiences. Third, in order to reduce the suicidal ideation of the people with mental disabilities, the mental disability registration system should be reorganized, and policy alternatives should be devised so that those experiencing mental distress can be included into the system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.2
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• pp.171-178
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• 2015

This research is the first research on developing the speed limit select model and also it is the result of the research on the importance of each element and consideration factors when selecting the speed limit. For the consideration factor discrimination and calculation of the importance, the delphi method and AHP method was used. The delphi survey was processed through third round survey, 5 high consideration factor(Level 1) and 23 low consideration factor(Level 2) was discriminated. During the process of the third delphi survey, when the CVR cost was in the range between 0.4~1.0 it was treated as the consideration factor when selecting the speed limit and less than 0.4 cost was eliminated. In the process of the second delphi survey, 33 consideration factors were discriminated but was reordered into 23 categories through the third survey. Based on the 23 categories earned through the third delphi analysis, the AHP survey was processed. The result of the AHP survey was that out of the importance of the 5 high consideration factor(Level 1), the traffic condition was evaluated as the number one factor and the vessel condition, waterway condition, environment condition, supporting condition and etc. conditions were evaluated following the traffic condition. Out of the 23 low consideration factor(Level 2) consideration, the visibility was evaluated to be the first important and the performance of the vessel steering, objective factors within the harbor, amount of traffic and density, distance between the passing vessel, speed of the steering capacity and tidal current were the following evaluated factors.

• Journal of Ginseng Research
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• v.42 no.4
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• pp.485-495
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• 2018

Background: The geographical origin of Panax ginseng Meyer, a valuable medicinal plant, is important to both ginseng producers and consumers in the context of economic profit and human health benefits. We, therefore, aimed to discriminate between the cultivation regions of ginseng using the stable isotope ratios of C, N, O, and S, which are abundant bioelements in living organisms. Methods: Six Korean ginseng cultivars (3-yr-old roots) were collected from five different regions in Korea. The C, N, O, and S stable isotope ratios in ginseng roots were measured by isotope ratio mass spectrometry, and then these isotope ratio profiles were statistically analyzed using chemometrics. Results: The various isotope ratios found in P. ginseng roots were significantly influenced by region, cultivar, and the interactions between these two factors ($p{\leq}0.001$). The variation in ${\delta}^{15}N$ and ${\delta}^{13}C$ in ginseng roots was significant for discriminating between different ginseng cultivation regions, and ${\delta}^{18}O$ and ${\delta}^{34}S$ were also affected by both altitude and proximity to coastal areas. Chemometric model results tested in this study provided discrimination between the majority of different cultivation regions. Based on the external validation, this chemometric model also showed good model performance ($R^2=0.853$ and $Q^2=0.738$). Conclusion: Our case study elucidates the variation of C, N, O, and S stable isotope ratios in ginseng root depending on cultivation region. Hence, the analysis of stable isotope ratios is a suitable tool for discrimination between the regional origins of ginseng samples from Korea, with potential application to other countries.