• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.409-415
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• 2012

The purpose of this study is to know the status of management of nosocomial infection and to present basic data for improving management of nosocomial infection. As a result, the average score of the recognition and performance of radiologist on the management of hand washing is 4.378, and 4.199 of 5. The average score of the recognition and performance of radiologist on the management of personal hygiene is 4.284, and 3.990 of 5. The recognition of hand washing management according to the general character, statistically significant difference according to the gender, age, education, career. In the performance is statistically significant difference according to the gender, marriage situation. In the recognition of personal hygiene management according to the general character, statistically significant difference according to the age, education, career. Performance of statistically significant difference according to the marriage situation, career. Finally, statistically significant difference between recognition and performance of radiologists on management of hand washing(r=0.453, p=0.000) and personal hygiene(r=0.415, p=0.000).

• Human Ecology Research
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• v.55 no.1
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• pp.45-55
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• 2017

This study analyzes diverse factors in time poverty and quality of life in dual-earner families with preschool children that pertain to the individual, family, and occupation. Data were taken from the 17th edition of the Korean Labor and Income Panel Study developed by the Korea Labor Institute in 2014. The sample consists of 826 households who are dual-earner families with preschool children. The major findings are as follows. First, this study identified inadequacies in personal care time for dual-earner families with preschool children. Second, the results show that gender, recognition of gender role, and overall satisfaction of occupation are related to the time poverty of dual-earner families. Men are more likely to experience time poverty than women, and equal recognition of gender role and satisfaction of occupation indicate a negative relation on the time poverty of dual-earner families with preschool children. Last, quality of life in non-time-poor groups is higher than for groups who experience time poverty. Also, health state, earned income, work-family life conflict, and overall satisfaction of occupation are commonly related to quality of life in both groups. The results suggest implications for comprehensive policies to address family time issues.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.99-100
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• 2008

This paper proposes a Gaussian Mixture Model (GMM) - based speech emotion recognition methods using four feature parameters; 1) Fast Fourier Transform(FFT) spectral entropy, 2) delta FFT spectral entropy, 3) Mel-frequency Filter Bank (MFB) spectral entropy, and 4) delta MFB spectral entropy. In addition, we use four emotions in a speech database including anger, sadness, happiness, and neutrality. We perform speech emotion recognition experiments using each pre-defined emotion and gender. The experimental results show that the proposed emotion recognition using FFT spectral-based entropy and MFB spectral-based entropy performs better than existing emotion recognition based on GMM using energy, Zero Crossing Rate (ZCR), Linear Prediction Coefficient (LPC), and pitch parameters. In experimental Results, we attained a maximum recognition rate of 75.1% when we used MFB spectral entropy and delta MFB spectral entropy.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.459-466
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• 2018

Gendered innovations is a term used by policy makers and academics to refer the process of creating better research and development (R&D) for both men and women. In this paper, we analyze the literatures in image and speech signal processing that can be used in ICT, examine the importance of gendered innovations through case study. Therefore the latest domestic and foreign literature related to image and speech signal processing based on gender research is searched and a total of 9 papers are selected. In terms of gender analysis, research subjects, research environment, and research design are examined separately. Especially, through the case analysis of algorithms of the elderly voice signal processing, machine learning, machine translation technology, and facial gender recognition technology, we found that there is gender bias in existing algorithms, and which leads to gender analysis is required. We also propose a gendered innovations method integrating sex and gender analysis in algorithm development. Gendered innovations in ICT can contribute to the creation of new markets by developing products and services that reflect the needs of both men and women.

• Journal of Families and Better Life
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• v.10 no.2
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• pp.263-276
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• 1992

The middle aged woman today have met discord of unbalance in gender role identity due to change in cultual situation and view of value of our country since 1960. Under the promise that there is a relationship between depression which is a psychological characteristic and gender role traits of middle aged woman, and in consideration that the depression of middle-aged woman may be differentiated depend upon the expressive manner of gender role, this research was trying to find out the relationship between the gender role traits and the depression of middle aged women. The purpose of his research is to provide data to be helpful for marital hygirne of middle-aged women by presenting a plan to reduce depression of middle-aged woman by the desirable gender role. In order for such studying purpose, the gender role, physical symptom and socio-demographic feature were researched using the scale which was by this researcher. The questionnaire sheets of 327 use form middle-aged woman of 39 years to 59 years old in full with their last child is 10 years or order. The summerized results of study are as follows. In consolidation of the foregoing it have known that the socio-economic position and recognition of physical symptom and the masculinity feature has shown less depression as she feels less physical symptom due to there is relationship between recondition of physical symptom and he masculity feature, and also, it has known that the depression of middle-aged women may be reduced when such extroversive and expressional gender role features are developed as 'aggressiveness and ' fraternity, and the depression may be prompted due to such introvert and easy to be impacted by grudge as 'impression'

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.59-66
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• 2022

This research conducted a study classifying gender of speakers by analyzing feature vectors extracted from the voice data. The study provides convenience in automatically recognizing gender of customers without manual classification process when they request any service via voice such as phone call. Furthermore, it is significant that this study can analyze frequently requested services for each gender after gender classification using a learning model and offer customized recommendation services according to the analysis. Based on the voice data of males and females excluding blank spaces, the study extracts feature vectors from each data using MFCC(Mel Frequency Cepstral Coefficient) and utilizes SVM(Support Vector Machine) models to conduct machine learning. As a result of gender classification of voice data using a learning model, the gender recognition rate was 94%.

• Journal of Family Resource Management and Policy Review
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• v.6 no.2
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• pp.1-14
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• 2002

The purpose of this study was examine and clarify the recognition according to gender of sexual harassment in the office. The samples were consisted of 250 employees in a seoul headquarter and 13 branches of S bank. the data were analyzed using percentage, frequency, mean, 1-test, F-test and ANOVA. The results of this study were as follows; 1) female workers recognized sexual harassment as severe problem, but male workers as minor and trivial things. 2) workers recognized the cause of sexual harassment as female low position in the office and sexual distinction 3) workers recognized sexual harassment type as visual, verbal and physical harassment. 4) workers recognized the main assaulters of sexual harassment as male senior workers and co-workers. 5) worker recognized place of harassment as times of workers' dining together. 6) worker recognized the victim of sexual harassment was apt to experience anger, hurt of self-respect, shame and embarrassment. 7) female workers recognized necessity of sexual education but male workers none of it.

• Phonetics and Speech Sciences
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• v.5 no.1
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• pp.73-80
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• 2013

Formant is one of the essential vocal features for research of voice production, recognition and synthesis. Numerous studies were established on foreign languages including English vowels. However, studies related to Korean were done with a limited number of voice data. In this study, we compare four formants according to age and gender using a large number of Korean monophthongs. A total of 2614 Korean speakers participated in our experiments. We summarize statistical results by mean and standard deviation for each formant of five monophthongs. The results show a notable difference in each age and gender group. A quantitative study based on a large dataset is suggested for future studies on Korean speech sounds.

• Journal of the Semiconductor & Display Technology
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• v.8 no.3
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• pp.39-44
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• 2009

Local Binary Pattern (LBP) is becoming a popular tool for various machine vision applications such as face recognition, classification and background subtraction. In this paper, we propose a new extension of LBP, called the Diagonal LBP (DLBP), to handle the image-based gender classification problem arise in interactive display systems. Instead of comparing neighbor pixels with the center pixel, DLBP generates codes by comparing a neighbor pixel with the diagonal pixel (the neighbor pixel in the opposite side). It can reduce by half the code length of LBP and consequently, can improve the computation complexity. The Support Vector Machine is utilized as the gender classifier, and the texture profile based on DLBP is adopted as the feature vector. Experimental results revealed that our approach based on the diagonal LPB is very efficient and can be utilized in various real-time pattern classification applications.

• Korean Journal of Health Education and Promotion
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• v.27 no.3
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• pp.75-84
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• 2010

Objectives: This study investigates factors influencing the perpetrations of sexual violence while dating among college students. Methods: With a correlational survey design, a self-report survey was conducted and collected 1,132 responses from college students with dating experiences. Methods including descriptive statistics, t-test, ANOVA, pearson correlation coefficients, and multiple regression were used to analyze data. Results: Compared to college students with no perpetrations of sexual violence, college students with perpetrations of sexual violence had significantly higher scores in father's violence, mother's violence, gender role stereotype, and sexual violence permissiveness. On the other hand they had significantly lower scores in sexual assault recognition than the compared group. A multiple regression model result forecasted parents' violence, sexual assault recognition, sexual violence permissiveness, and gender as prediction indicators of perpetrations of sexual violence. Conclusion: To prevent sexual violence while dating, domestic violence should be decreased through parents education and counseling from childhood. High-risk groups should be detected by surveying socio-psychological variables including experience of domestic violence, sexual assault recognition, and sexual violence permissiveness. It need to develop and implement sexual violence prevention programs to accurately inform and aware sexual violence.