• Health Policy and Management
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• v.33 no.1
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• pp.75-84
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• 2023

Background: The purpose of this study was to identify the factors affecting social discrimination experience on depression in the early and late elderly by region. Methods: This study used data from the National Survey of Older Koreans 2020. The subject of the study was the elderly aged 65 or older, and it was analyzed as those who responded. In order to analyze the effect of social discrimination experiences on depression, it was analyzed through binary logistic regression analysis. Results: The results of this study showed that the elderly who experienced social discrimination had a significant effect on depression. In addition, when four groups experienced social discrimination when using restaurants or coffee shops, depression was commonly affected. In addition, when both city and rural areas experience social discrimination when using sales facilities in social discrimination in the elderly, city areas are 2.21 times more likely to experience depression and 3.52 times more likely to experience depression in rural areas. The late elderly are more likely to experience 3.04 times more likely to experience social discrimination when using restaurants or coffee shops in city areas, and 3.03 times more likely to experience depression when experiencing social discrimination to make major decisions in the family in rural areas. Conclusion: In conclusion, it is necessary to prepare alternatives to prevent depression and improve mental health suitable for the characteristics of age and residential area. In addition, it suggests that personal and social efforts are needed to solve the problem of social discrimination in order to reduce depression in the elderly.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.205-212
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• 2022

Objectives: This study aimed to identify the behaviors associated with discrimination towards people living with HIV/AIDS (PLHA) in Indonesia and to determine the factors affecting discrimination. Methods: Secondary data from the 2017 Indonesia Demographic and Health Survey were analyzed using a cross-sectional design. Discrimination was assessed based on the questions (1) "Should children infected with HIV/AIDS be allowed to attend school with non-infected children?" and (2) "Would you buy fresh vegetables from a farmer or shopkeeper known to be infected with HIV/AIDS?" Multivariable logistic regression was used to determine the factors affecting discrimination, with adjusted odds ratio (aOR) and 95% confidence interval (CIs) used to show the strength, direction, and significance of the associations among factors. Results: In total, 68.9% of 21 838 individuals showed discrimination towards PLHA. The odds of discrimination were lower among women (aOR, 0.63; 95% CI, 0.55 to 0.71), rural dwellers (aOR, 0.81; 95% CI, 0.75 to 0.89), those who understood how HIV is transmitted from mother to child (aOR, 0.81; 95% CI, 0.73 to 0.89), and those who felt ashamed of their own family's HIV status (aOR, 0.56; 95% CI, 0.52 to 0.61). The odds were higher among individuals who knew how to reduce the risk of getting HIV/AIDS (aOR, 1.27; 95% CI, 1.15 to 1.39), how HIV/AIDS is transmitted (aOR, 3.49; 95% CI, 3.09 to 3.95), and were willing to care for an infected relative (aOR, 2.78; 95% CI, 2.47 to 3.13). A model consisting of those variables explained 69% of the variance in discrimination. Conclusions: Gender, residence, knowledge, and attitudes related to HIV/AIDS were explanatory factors for discrimination against PLHA. Improvements in HIV/AIDS education programs are needed to prevent discrimination.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.305-316
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• 2017

The purpose of this study is to analyze the effect of the social network of disabled wage worker on discrimination experience and job satisfaction and the mediating effect of discrimination experience, based on this, we propose a solution. For this purpose, data of 805 people with Panel Survey of Employment for the Disabled were analyzed using data from the 8th year(2015). The results of the study are as follows: First, the social networks of disabled wage worker were found to reduce the discrimination experience and increase the job satisfaction. Second, the discrimination experience of disabled wage worker decreased job satisfaction and mediated the relationship between social network and job satisfaction. These results that the social network is important for the discrimination and job satisfaction of disabled people, and we suggest that is necessary to make efforts at government and enterprise level to strengthen the social network of the disabled.

• 재활복지
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• v.18 no.4
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• pp.119-144
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• 2014

The purpose of this study was to ascertain the multiple mediating effect of mental health, which is composed of depression, disability acceptance, social-economic position, life satisfaction, on the relationship between disability discrimination and job satisfaction against wage earners with disabilities. A data of 992 wage earners with disabilities which derived from the fourth wave panel data provided at Korea Employment Agency for the Disabled were utilized. SPSS 20.0 and SPSS Indirect macro was conducted, and the results were verified by SPSS 20.0 and SPSS Indirect macro. The results were as follows : (1) Depression influenced between disability discrimination and job satisfaction directly or indirectly. (2) Disability acceptance mediated between disability discrimination and job satisfaction. (3) Social-economic position mediated between disability discrimination and job satisfaction. (4) Life satisfaction mediated between disability discrimination and job satisfaction. Based on the results, Based on the results, it suggested some methods of ascent of job satisfaction for wage earners with disabilities.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.37-43
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• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• Journal of Family Resource Management and Policy Review
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• v.12 no.1
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• pp.127-139
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• 2008

The main purpose of this study was to examine the impact of increasing morale on social support and discrimination. The relationship between discrimination and social support and their influences on the morale of the elderly was investigated, with the goal of raising morale in the elderly. The data were collected from a sample of 574 elderly people in Daejeon Metro-City. Factors positively influencing the morale of the elderly were identified a shaving a partner, a high educational background, financial status, good health status, the presence of an informal support from friends and neighbors, and less feeling of discrimination. Based on these findings, implications for social welfare policy and future research are discussed.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.2
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• pp.280-291
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• 1987

In this paper, the linear autoregressive model of EMG signal for four basic arm functions was presented and parameters for each function were estimated. The signal identification was carried out using function discrimination algorithm. It was validated that EMG signal was a widesense stationary process and the linear autoregressive model of EMG signal was constructed through approximating it to Gaussian process. It was confined that Levinson-Durbin algoridthm is a more appropriate one than the recursive least square method for parameter estimation of the linear model. Optimal function discrimination was acquired when sampling frequency was 500Hz and two electrodes were attached to bicep and tricep muscle, respectively. Parameter values were independent of variance and the number of minimum data for function discrimination was 200. Bayesian discrimination method turned out to be a better one than parallel filtering method for functional discrimination recognition.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.99-107
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• 2015

This study purposed to analyze difference in experience of life in Korea among adolescents whose immigrant backgrounds were different (Korean-born children of multicultural families and foreign-born immigrant children) using the data of the 2012 National Survey of Multicultural Families (adolescent children aged between 9 and 24). According to the results of analysis, first, multicultural adolescents with immigrant backgrounds experienced 'difficulty in using the Korean language (speaking, listening, reading, and writing),' 'school dropout,' and 'school violence' more frequently than Korean-born multicultural adolescents. Second, with regard to social discrimination (friends, teachers, relatives, neighbors, and unknown people), multicultural adolescents with immigrant backgrounds experienced 'discrimination by teachers,' 'discrimination by relatives,' 'discrimination by neighbors,' and 'discrimination by unknown people' more frequently than Korean-born multicultural adolescents. By analyzing these differences, this study suggested directions for differentiated support policies and specific strategies for adjustment to life in Korea by multicultural family adolescents with different backgrounds.

• Speech Sciences
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• v.13 no.3
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• pp.7-18
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• 2006

Diagnosis of pathological voice is one of the important issues in biomedical applications of speech technology. This study focuses on the discrimination of voice disorder using HMM (Hidden Markov Model) for automatic detection between normal voice and vocal fold disorder voice. This is a non-intrusive, non-expensive and fully automated method using only a speech sample of the subject. Speech data from normal people and patients were collected. Mel-frequency filter cepstral coefficients (MFCCs) were modeled by HMM classifier. Different states (3 states, 5 states and 7 states), 3 mixtures and left to right HMMs were formed. This method gives an accuracy of 93.8% for train data and 91.7% for test data in the discrimination of normal and vocal fold disorder voice for sustained /a/.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.2
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• pp.45-53
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• 2024

The maintenance of semiconductor equipment is crucial for the continuous growth of the semiconductor market. System management is imperative given the anticipated increase in the capacity and complexity of industrial equipment. Ensuring optimal operation of manufacturing processes is essential to maintaining a steady supply of numerous parts. Particularly, monitoring the status of substrate transfer robots, which play a central role in these processes, is crucial. Diagnosing failures of their major components is vital for preventive maintenance. Fault diagnosis methods can be broadly categorized into physics-based and data-driven approaches. This study focuses on data-driven fault diagnosis methods due to the limitations of physics-based approaches. We propose a methodology for data acquisition and preprocessing for robot fault diagnosis. Data is gathered from vibration sensors, and the data preprocessing method is applied to the vibration signals. Subsequently, the dataset is trained using Gradient Tree-based XGBoost machine learning classification algorithms. The effectiveness of the proposed model is validated through performance evaluation metrics, including accuracy, F1 score, and confusion matrix. The XGBoost classifiers achieve an accuracy of approximately 92.76% and an equivalent F1 score. ROC curves indicate exceptional performance in class discrimination, with 100% discrimination for the normal class and 98% discrimination for abnormal classes.