• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.42-52
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• 2021

This study was conducted to identify the influence of the discrimination experienced in daily life and social isolation on depression among older adults living in the community. This study was a secondary analysis of the data of 2017 Living Profiles of Older Adults Survey. The participants was a representative sample among the older adults 65 years and older. Data from 10,041 older adults were analyzed for this study. Hierarchical logistic regression analyses were used. When the discrimination experiences was added in model 1, the likelihood of being depressed was 1.95(1.60-2.36) times higher for those who experienced discrimination comparing with those who didn't experienced discrimination. When the social isolation was added in model 2, the likelihood of being depressed was 1.89(1.55-2.30) times higher in those who experienced discrimination. In addition, as the number of close friends, neighbors, and acquaintances decreased by one, the likelihood of being depressed increased by 1.14 times. Those who were isolated from family, friends, neighbors and acquaintances were 3.90 times more likely to be depressed. Therefore, social efforts are needed to reduce the experience of discrimination. Maintaining a social network or creating a new network will contribute to lowering the level of depression in older adults who have experienced discrimination.

• Proceedings of the KIEE Conference
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• 1987.11a
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• pp.330-333
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• 1987

This paper is the study on the automatic discrimination of the Korean alveolar stops. In Korean, it is necessary to discriminate the asperate/tense plosive for the automatic speech recognition system because we, Korean, distinguish asperate/tense plosive allphones from tense and lax plosive. In order to detect acoustic cues for automatic recognition of the [ㄲ, ㄸ, ㅃ], we have experimented the discrimination of [ㄷ,ㄸ,ㅌ]. We used temporal cues like VOT and Silence Duration, etc., and energy cues like ratio of high frequency energy and low frequency energy as the acoustic parameters. The VCV speech data where V is the 8 Simple Vowels and C is the 3 alevolar stops, are used for experiments. The 192 speech data are experimented on and the recognition rate is resulted in about 82%-95%.

• Asian Journal for Public Opinion Research
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• v.7 no.4
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• pp.226-250
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• 2019

The purpose of this study is to explore whether the perceptions of materialistic realities of South Korean university students can be explained by individual experience and media use. We examined: 1) relative consequences of awareness of discrimination experience and amounts of time spent on genre-specific media on perceptions of materialistic realities, 2) whether cultural orientation (allocentrism, self-monitoring, and masculinity) influences explanatory factors of awareness of discrimination experience, 3) conditions of countervailing responses to materialistic reality. As a result of analyzing the online survey data of 330 university students in Seoul, the amount of time spent on the beauty or fashion genre and awareness of discrimination experience explained the perceptions of materialist reality in Korean society. Although the perceptions that affected the accommodative response did not affect countervailing response, innovativeness had an interaction effect with perceptions of materialist reality in only countervailing response. Finally, the implications of these findings were discussed.

• Journal of Computing Science and Engineering
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• v.10 no.4
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• pp.128-136
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• 2016

It is impossible for any human being to analyze the more than 500 million tweets that are generated per day. Lexical ambiguities on Twitter make it difficult to retrieve the desired data and relevant topics. Most of the solutions for the word sense disambiguation problem rely on knowledge base systems. Unfortunately, it is expensive and time-consuming to manually create a knowledge base system, resulting in a knowledge acquisition bottleneck. To solve the knowledge-acquisition bottleneck, a topic signature is used to disambiguate words. In this paper, we evaluate the effectiveness of various features of newspapers on the topic signature extraction for word sense discrimination in tweets. Based on our results, topic signatures obtained from a snippet feature exhibit higher accuracy in discriminating company names than those from the article body. We conclude that topic signatures extracted from news articles improve the accuracy of word sense discrimination in the automated analysis of tweets.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.7
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• pp.98-105
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• 2000

In this study, we developed rotating machine vibration condition monitoring system based upon Windows NT and DSP Board. Developed system includes signal analysis module, trend monitoring and simple diagnosis using threshold value. Trend analysis and report generation are offered with database management tool which was developed in MS-ACCESS environment. Post-processor, based upon Matlab, is developed for vibration signal analysis and fault detection using statistical pattern recognition scheme based upon Bayes discrimination rule and neural networks. Concerning to Bayes discrimination rule, the developed system contains the linear discrimination rule with common covariance matrices and the quadratic discrimination rule under different covariance matrices. Also the system contains k-nearest neighbor method to directly estimate a posterior probability of each class. The result of case studies with the data acquired from Pyung-tak LNG pump and experimental setup show that the system developed in this research is very effective and useful.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.511-534
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• 2015

The primary goal of the present study was to examine the moderating effects of coping strategies, cultural identity, and bicultural self-efficacy on the relationship between perceived discrimination and depressive symptoms of Korean Canadian college students. Data were collected from 214 Korean Canadian college students studying in Canada through an online and offline survey. A direct effect of perceived discrimination on depressive symptoms and the moderating effects of coping strategies on the relationship between perceived discrimination and depressive symptoms were examined by using hierarchical regression analysis. And three-way interaction of perceived discrimination, coping strategies, and cultural identity, and perceived discrimination, coping strategies, and bicultural self-efficacy on depressive symptoms were examined. Results from a hierarchical regression indicated that perceived discrimination significantly predicted depressive symptoms and this finding is in line with previous studies. Second, reflective, suppressive, and reactive coping strategies did not moderate the relationship between perceived discrimination and depressive symptoms. Third, the three-way interaction effect of perceived discrimination, suppressive coping strategy, and heritage identity predicted the depressive symptoms. Low heritage identity, high level of perceived discrimination and the frequent use of suppressive coping strategy increased the level of depressive symptoms. Fourth, the three-way interaction effect of perceived discrimination, coping strategies, and bicultural self-efficacy did not predict the depressive symptoms. Limitations and applied implications of the results are discussed.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.14 no.2
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• pp.110-116
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• 2003

Background and Objectives : Laryngeal cancer discrimination using voice signals is a non-invasive method that can carry out the examination rapidly and simply without giving discomfort to the patients. n appropriate analysis parameters and classifiers are developed, this method can be used effectively in various applications including telemedicine. This study examines voice analysis parameters used for laryngeal disease discrimination to help discriminate laryngeal diseases by voice signal analysis. The study also estimates the laryngeal cancer discrimination activity of the Gaussian mixture model (GMM) classifier based on the statistical modelling of voice analysis parameters. Materials and Methods : The Multi-dimensional voice program (MDVP) parameters, which have been widely used for the analysis of laryngeal cancer voice, sometimes fail to analyze the voice of a laryngeal cancer patient whose cycle is seriously damaged. Accordingly, it is necessary to develop a new method that enables an analysis of high reliability for the voice signals that cannot be analyzed by the MDVP. To conduct the experiments of laryngeal cancer discrimination, the authors used three types of voices collected at the Department of Otorhinorlaryngology, Pusan National University Hospital. 50 normal males voice data, 50 voices of males with benign laryngeal diseases and 105 voices of males laryngeal cancer. In addition, the experiment also included 11 voices data of males with laryngeal cancer that cannot be analyzed by the MDVP, Only monosyllabic vowel /a/ was used as voice data. Since there were only 11 voices of laryngeal cancer patients that cannot be analyzed by the MDVP, those voices were used only for discrimination. This study examined the linear predictive cepstral coefficients (LPCC) and the met-frequency cepstral coefficients (MFCC) that are the two major cepstrum analysis methods in the area of acoustic recognition. Results : The results showed that this met frequency scaling process was effective in acoustic recognition but not useful for laryngeal cancer discrimination. Accordingly, the linear frequency cepstral coefficients (LFCC) that excluded the met frequency scaling from the MFCC was introduced. The LFCC showed more excellent discrimination activity rather than the MFCC in predictability of laryngeal cancer. Conclusion : In conclusion, the parameters applied in this study could discriminate accurately even the terminal laryngeal cancer whose periodicity is disturbed. Also it is thought that future studies on various classification algorithms and parameters representing pathophysiology of vocal cords will make it possible to discriminate benign laryngeal diseases as well, in addition to laryngeal cancer.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.1
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• pp.15-20
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• 2012

The authenticity of bank note is threatened by increasing a counterfeit note with development of the information industry, recently. The importance of counterfeit discrimination is stressed, but there is a limits to popularization. Because usually, the existing counterfeit discriminator uses invisible ray zone like UV, IR, etc. The purpose of this paper is the construction of counterfeit discrimination system for \50,000 won bills. This system is used optical fiber sensor with excellent confidence as well as easy way of using in wave length of a visible ray zone. The light was altered by lightening optical fiber sensor to particular part of bank notes in order displacing response of optical fiber sensor. The experiment was processed with data of 100 bank notes on manufacture optical fiber, probe, jig. As a result, the discrimination conuterfeit was verified when the experiment was processing with hologram or CSI on the bank notes with three kinds of color printer.

• Analytical Science and Technology
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• v.32 no.1
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• pp.7-16
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• 2019

The objective of this study was the development of a discrimination model for the cultivational origin of paper mulberry bast fiber and Hanji using near infrared (NIR) and mid infrared (MIR) spectroscopy combined with partial least squares discriminant analysis (PLS-DA). Paper mulberry bast fiber was purchased in 10 different regions of Korea, and used to make Hanji. PLS-DA was performed using pre-treated FT-NIR and FT-MIR spectral data for paper mulberry bast fiber and Hanji. PLS-DA of paper mulberry bast fiber and Hanji samples, using FT-NIR spectral data, showed 100 % performance in cross validation and the confusion matrix (accuracy, sensitivity, and specificity). The discrimination models showed four regional groups which demonstrated clearer separation and much superior score plots in the NIR spectral data-based model than in the MIR spectral data-based model. Furthermore, the discrimination model based on the NIR spectral data of paper mulberry bast fiber had highly similar score morphology to that of the discrimination model based on the NIR spectral data of Hanji.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.300-309
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• 2020

Purpose: This study was conducted to investigate the factors affecting the discrimination of the elderly using welfare centers. Methods: A cross-sectional study was conducted with 217 elderly people from a welfare center in D city. Data were collected using a self-administered questionnaire survey consisting of ageism experience, social participation attitude, social support, and empowerment. For data analysis, descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficients, and multiple regression were performed using SPSS/WIN 21.0 program. Results: As a result of analyzing the correlations among the variables, the discrimination experience of the elderly showed negative correlations in social participation attitude and child relationship support. The factors affecting the discrimination experience of the elderly include gender, job, smartphone use, and child relationship support had a significant effect. The explanatory power of the discrimination experience of these factors was 15.4%. Conclusion: This study found that gender, job, social support, and smartphone use were factors influencing the discrimination experience of the elderly. It is hoped that public relations and policy measures should be considered.