• Journal of Digital Convergence
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• v.19 no.12
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• pp.469-475
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• 2021

The purpose of this study was to compare the elements of anti-discrimination laws on disability in major OECD countries. This study used the analysis framework for the elements of the anti-discrimination law on disability presented in the national report of Chopin et al.,(2018). In addition, It was analyzed including the Anti-Discrimination Act on Disability, the General Anti-Discrimination Act including Disability, the Equality Act in the UK, and the Human Rights Act in Canada. The research results were as follows. In Austria, Belgium, France and Sweden, it were found that the countrys satisfied all of the provisions of the Act on 'Direct discrimination', 'Indirect discrimination', 'Harassment', 'Legal standing to act on behalf of victims', 'Legal standing to act in support of victims' and 'Prohibition of victimisation'. In particular, in Korea, 'Legal standing to act on behalf of victims' and 'Legal standing to act in support of victims' were not included. However, it was a country that satisfied the provisions of the Act on 'Direct discrimination', 'Indirect discrimination', 'Harassment' and 'Prohibition of victimisation'. Finally, this study suggested legal and institutional supplementation.

• Journal of information and communication convergence engineering
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• v.4 no.1
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• pp.36-40
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• 2006

A new method of digital image analysis technique for medical images of cancer cell is presented. This paper deals with the cancer cell discrimination. The object images were the Thyroid Gland cell images that were diagnosed as normal and abnormal. This paper proposes a new discrimination method based on fuzzy logic algorithm. The focus of this paper is an automatic discrimination of cells into normal and abnormal of medical images by dominant feature parameters method with fuzzy algorithm. As a consequence of using fuzzy logic algorithm, the nucleus were successfully diagnosed as normal and abnormal. As for the experimental result, average recognition rate of 64.66% was obtained by applying single parameter of 16 feature parameters at a time. The discrimination rate of 93.08% was obtained by proposed method.

• Journal of Navigation and Port Research
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• v.29 no.9
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• pp.807-812
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• 2005

The objective of this study is to empirically investigate the effect of gender discrimination to female workers in Korean shipping firms on the their organization commitment and organizational citizenship behavior. In carrying out the objective of this study, two hypotheses about the structural relationship among gender discrimination, organization commitment and organizational citizenship behaviors in the Korean shipping firms are established after reviewing the related studies. Survey questionnaires are distributed and analyzed to test the reliability and validity of the response. Also, a structural equation model is established and the model is analyzed by AMOS. In conclusion, there are a negative effect of gender discrimination on female workers' organizational commitment and a positive effect of their commitment on OCB. Through this paper, the comprehensive understanding of the structural relationship among gender discrimination, organization commitment and organizational citizenship behavior would be promoted.

• Nuclear Engineering and Technology
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• v.50 no.8
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• pp.1426-1432
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• 2018

This paper presents a neutron detector configuration using EJ-301 scintillation liquid, a R9420 photo-multiplier and a homemade preamplifier. The detector qualities which include the energy linearity, efficiency response and neutron/gamma discrimination are guaranteed for neutron detection in the energy range from 0 to 3000 keVee. Regarding the neutron/gamma discrimination capability, four pulse shape discrimination (PSD) methods which are the threshold crossing time (TCT), pulse gradient analysis (PGA), charge comparison (CC) and correlation pattern recognition (CPR), were evaluated and discussed; among of these, the CPR method provides the best neutron/gamma discrimination.

• Economic and Environmental Geology
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• v.36 no.3
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• pp.201-212
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• 2003

Recently, the ability of earthquake detection in the Kyungsang Basin of southeastern Korean Peninsula is greatly improved since seismic stations including seismic network of KIGAM(Korea Institute of Geoscience and Mineral Resources) have been significantly increased. However, a large number of signals from explosions are recorded because of frequent medium to large chemical explosions. The discrimination between natural earthquakes and explosions in the Basin has become an important issue. High frequency local records from 43 earthquakes and 43 explosions with comparable magnitude are selected to establish a reliable discrimination technique in the Basin. Several discrimination techniques in spectral domain using spectral amplitude ratios among Pg, Sg, and Lg waves are widely examined with tile selected data. Among them the Pg/Lg spectral ratio method is appeared to be a good discrimination technique to improve the discrimination power. Multivariate discriminant analysis is also applied to the Pg/Lg spectral ratios. The discrimination power of the Pg/Lg ratios for distance corrected three component record compared to uncorrected vertical component one shows distinct improvement. In the frequency band 4 to 14 Hz, Pg/Lg spectral ratio for distance corrected three component record provides discrimination power with a total misclassification probability of only 0.89%.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• Korean Journal of Social Welfare
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• v.57 no.2
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• pp.297-320
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• 2005

This study was attempted to give aids in making 'the Disability Discrimination Act' by estimating the potential Cost-Benefit in case that the discrimination on the disabled is removed. The potential benefits from this Disability Discrimination Act are calculated considering the income increase of the people with disabilities from additional employment for them and the decrease of employment levies and the public assistance benefits. The potential cost was made focusing on the following 2 expenses- the extra expenditures that the owners of companies had to invest from the employment of the disabled and the managing expenses for correcting discrimination organizations. As the result of this estimation, the potential net present value under the 7% discount rate is very high as 12,700,301 million won and the cost-benefit ratio is also great as 96.8. The consequence of the sensitive analysis in changing the discount rate also does not have great changes. As the result of these estimating results, it is known that when the discrimination is solved by the 'Disability Discrimination Act', the pure benefit of our society will become tremendous. After all, it could be said that the need for 'the Disability Discrimination Act' is emphasized and should be emphasized.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.526-534
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• 2018

The purpose of this study is to classify the degree of change of job discrimination of the disabled according to time and to identify factors affecting life satisfaction according to each type. For this study, data from the 3rd to 8th year of the employment panel for the disabled were used and 1,227 data were used. The longitudinal profile of the disabled person's discrimination was classified through latent profile growth analysis(LPGA), and then influential factors were verified through binomial logistic regression analysis. First, the types of change of the job discrimination of the disabled were represented as the decrease group and the increase group. The factors influencing the job discrimination were the degree of disability, chronic diseases, gross income, and life satisfaction. Second, the factors of predicting the life satisfaction according to the types of job discrimination of the disabled are as follows: job discrimination, decrease and increase group have higher life satisfaction as the self - esteem and socioeconomic status are higher. Based on these results, this study suggested the implications of this study to cope with the discrimination of the workplace with the disabled.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3359-3366
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• 2023

In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

• Korean Journal of Occupational Health Nursing
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• v.31 no.2
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• pp.43-56
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• 2022

Purpose: This study was conducted to explore male nurses' experiences of gender discrimination at the workplace using qualitative research methods. Methods: Participants responded to a survey using an online link, and were asked to describe their overall experiences by responding to the question "Please freely describe your experiences of workplace gender discrimination". The qualitative data collected from 118 participants were analyzed using Krippendorff's technique. Data collection was caried out from June 11, 2019, to August 3, 2020. Results: Eleven themes and 24 subthemes were extracted from a total of 277 meaningful statements. Male nurses' experiences of workplace gender discrimination, reasons of gender discrimination, and improvement strategies were presented through the key themes. Conclusion: Male nurses experienced workplace gender discrimination from patients, colleagues, and institutions. Furthermore, strategies to improve gender stereotypes and to emphasize the strengths of male nurses are necessary in order to increase the number of male nurses in the female-dominant nursing field and to reduce job turnover. These strategies will help expand the social role of nurses as professionals and improve the work environment and benefits for all nurses.