• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1529-1529
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• 2001

The watercore in apple is very important factor in storage and sorting of fruit. Most consumers tend to prefer the apple included watercore in immediately after harvest, however the watercore causes fruit flesh to brown during storage and lose the worth after all. But it is practically impossible to judge to the naked eye whether an apple has watercore or not. Therefore, the rapid, accurate and non-destructive analysis method for discrimination of watercore should be settled without delay. In this study we attempted the discrimination and quantitative analysis of watercore in apple fruit using near-infrared transmittance spectroscopy ‘Fuji’ apple fruits produced in Kyungpook of Korea was used in this experiment. The watercore content in apple was evaluated by graphic treatment of culled slice sections(10 mm). NIR transmittance spectra were collected over the 500 to 1000 nm spectral region with a spectrometer (Sentronic Co., Germany). The calibration models were carried out by partial least squares (PLS) analysis between NIR spectra data of apples and chemical data of watercore content. The spectra were different in absorbance between apple included watercore and not included one. Apple included watercore had higher absorption band than sample not included one at 732 and 820 nm. The calibration model seems to be accurate to predict the watercore content in apple fruit, the correlation coefficient (R) and root mean square error of prediction (RMSEP) were 0.99 and 0.93%, respectively. This result indicates that the PLSR calibration model by using NIR transmittance spectroscopy could be used for discrimination of watercore in apple fruit.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.5
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• pp.199-204
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• 2000

This paper presents new approaches for the calculation for the calculation of each user's wheeling prices based on the economic analysis method with focus on the postage stamp rule. The suggested postage stamp rules can overcome the following problems embedded in the conventional accounting-costs-based methods such as the volatileness of wheeling prices depending deprieciation methods, emerging the wheeling free-riders due to the difference between accounting life-time and technical life-time, price discrimination between firm and non-firm network users, etc. To solve these problems we suggest new postage stamp rules employing capital recovery factor for investment costs treatment and applying technical life-time. Furthermore, we have suggested a new formulation for non-firm wheeling users based on the wheeling energies. In the case study, the results of suggested postage stamp methodologies are compared with those of conventional approaches.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.9
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• pp.1337-1346
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• 2015

In this paper, pattern classifier is designed to classify precipitation and non-precipitation events from weather radar data. The proposed classifier is based on Fuzzy Neural Network(FNN) and consists of three FNNs which operate in parallel. In the proposed network, the connection weights of the consequent part of fuzzy rules are expressed as two polynomial types such as constant or linear polynomial function, and their coefficients are learned by using Least Square Estimation(LSE). In addition, parametric as well as structural factors of the proposed classifier are optimized through Differential Evolution(DE) algorithm. After event classification between precipitation and non-precipitation echo, non-precipitation event is to get rid of all echo, while precipitation event including non-precipitation echo is to get rid of non-precipitation echo by classifier that is also based on Fuzzy Neural Network. Weather radar data obtained from meteorological office is to analysis and discuss performance of the proposed event and echo patter classifier, result of echo pattern classifier compare to QC(Quality Control) data obtained from meteorological office.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.43-51
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• 2007

IT 기술의 발달과 인터넷 사용자들의 Needs 향상으로 디지털 컨텐츠와 온라인 서비스의 사용이 늘어가고 있다. 이로 인해 네트워크 트래픽 사용량 역시 늘어나고 있으며, 네트워크 사업자들은 기존 망 사용료 이상의 비용을 요구하고 있다. 이러한 문제점으로 인해 망 중립성이 국내 외에서 중요 이슈로 부각되고 있다. 이에 본 연구는 망 중립성에 대한 개념과 국내외 현황을 분석해 봄으로써, 망 중립성 도입 시 살펴보아야 할 중점 사항과 그 해결 방안을 모색해 보고자 하였다.

• Research in Community and Public Health Nursing
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• v.28 no.4
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• pp.472-481
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• 2017

Purpose: The purpose of this study were to compare working condition, socioeconomic status, and health status between elderly and non-elderly workers and to examine the influencing factors of health status according to age groups. Methods: This study is a secondary analysis of data extracted from the 2014 Korean Working Conditions Survey. For the present analysis, 15,980 elderly workers over the age of 55 and 32,037 non-elderly workers under the age of 55 were selected. Results: The prevalence of subjective unhealthy status and poor mental health were significantly higher among the elderly workers than the non-elderly workers. The elderly workers were more likely to have lower level of education and income than the non-elderly workers. They also reported less support from colleagues and managers, however, have more decision authority. Among the elderly workers, long working hours, awkward posture, physical environmental risks, quantitative demand, decision authority, social support, age discrimination, education level, and income level were significant predictors of subjective health status or mental health. Conclusion: For keeping elderly workers healthy and productive, work environment needs to become more age-friendly. An age-friendly workplace may include: accommodative support, workers' participation, minimization of environment risk, etc.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.459-466
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• 2020

This study aimed to analyze characteristics and factors affecting of depression by households type of elderly with disabilities. Data were analyzed using chi-square test, logistic regression analyses according to the PSED. Data were 608 individuals. First, The one-person households group showed significantly female, non-capital, severe disorder, lower health status, lower economic level, higher help for daily life, higher experience of discrimination, lower satisfaction with relationship, lower participation in social activities. Second, Factors affecting depression included experience of discrimination, participation in social activities. Multi-person group included gender, occupied area, health status, economic level and one-person group were help for daily life. In order to reduce depression, it is necessary to reduce experience of discrimination, improve awareness of disability, health care, economic supports and so on. This study is meaningful in that it classifies households types. In the future, there is a need to longitudinal studies.

• Journal of Microbiology and Biotechnology
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• v.25 no.5
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• pp.745-752
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• 2015

Tuberculosis (TB) is the most common mycobacterial infection in developing countries, requiring a rapid, accurate, and well-differentiated detection/diagnosis. For the rapid detection and discrimination of Mycobacterium tuberculosis complex (MTC) from non-tuberculous mycobacteria (NTM), a novel, simple, and primer-combined single-step multiplex PCR using three primer pairs (6110F-6110R, 1081F-1081R, and 23SF-23SR; annealing on each of IS6110, IS1081, and 23S rDNA targets), hereafter referred to as a triplex PCR, has been developed and evaluated. The expected product for IS6110 is 416 bp, for IS1081 is 300 bp, and for 23S rDNA is 206 bp by single PCR, which was used to verify the specificity of primers and the identity of MTC using DNA extracted from the M. tuberculosis H37Rv reference strain (ATCC, USA) and other mycobacteria other than tuberculosis (MOTT) templates. The triplex PCR assay showed 100% specificity and 96% sensitivity; the limit of detection for mycobacteria was ~100 fg; and it failed to amplify any target from DNA of MOTT (50 samples tested). Of 307 blinded clinical samples, overall 205 positive M. tuberculosis samples were detected by single PCR, 142 by conventional culture, and 90 by AFB smear methods. Remarkably, the triplex PCR could subsequently detect 55 positive M. tuberculosis from 165 culture-negative and 115 from 217 AFB smear-negative samples. The triplex PCR, targeting three regions in the M. tuberculosis genome, has proved to be an efficient tool for increasing positive detection/discrimination of this bacterium from clinical samples.

• Korean Journal of Veterinary Research
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• v.39 no.3
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• pp.513-522
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• 1999

DNA hybridization assay using probes prepared from liver was carried out to identify species characterization of the domestic animals. Gel electrophoresis showed that the target DNA extracted from raw muscle were 1kb and uniform pattern while fragments size of heated muscle were irregular. Hybridization was performed by adding 200ng/ml probe in hybridization solution and incubating for 12 hours at $68^{\circ}C$. To obtain good discrimination, applied washing buffer and washing step differently depending on the species. The probes of pig, horse and dog formed the specific hybrids with each target DNA respectively. Although cross reaction was detected in cattle, goat and sheep but signal intensity among these species made the discrimination possible each other. Such pattern was the same in the cases of chicken, turkey and duck. The hybridization pattern of heated muscle was similar to that of raw muscle in general, but the signal intensity was inferior to that of raw muscle. Species identification between closely related animal species, hybridized using the target DNA of such closely related animal species as a blocking agent, remarkable increase of discrimination from the evident decrease of non specific reaction compared with the control group. In addition, in the admixture where certain meat was included in the beef, pork, chicken meat, we could find whether any unjust meat was admixed or not. In this case, detection limit of certain meat in admixture was 1%.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.248-258
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• 2019

The importance of the creative class has been emphasized as the industrial structure changes. However, there are only a few studies on gender wage difference in the creative class. The purpose of this study is to analyze the various factors influencing the gender wage gap in the creative class by using labor panel data. The results of this study are as follows: First, it was found that the wage of the male creative class is higher than the wage of the female creative class. Second, there were different factors affecting wages depending on the gender of the creative class. Third, female workers in the creative class suffer wage discrimination due to differences, but a larger part is due to gender discrimination. Fourth, compared to the non-creative classes, the gender wage gap of the creative classes was small. The gender gap caused by discrimination was the highest among the younger generation.