• Journal of Digital Convergence
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• v.17 no.9
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• pp.153-161
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• 2019

Discrimination of media object segments in wireless home proxies has a significant impact on caching delay, and caching delay degrades the performance of the proxy. In this paper, we propose a Single Fetching Smart Caching (SFSC) strategy and a Multi-Fetching Smart Caching (MFSC) strategy to improve the proxy performance of the home network and improve the caching performance for media object segments. The SFSC strategy is a technique that performs caching by sequential fetching of object segments requested by the home node one at a time, which guarantees a faster cache hit rate, and the MFSC strategy is a technique that caches the media object segments by blocking object segments requested by the home node one at a time, which improves the throughput of cache. Simulation results show that the cache hit rate and the caching delay are more efficient than the MFSC technique, and the throughput of the object segment is more efficient than that of the SFSC technique.

• The Journal of the Acoustical Society of Korea
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• v.26 no.5
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• pp.207-213
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• 2007

In this research, we propose an efficient Speech/Music discrimination method that uses spectrum analysis and neural network. The proposed method extracts the duration feature parameter(MSDF) from a spectral peak track by analyzing the spectrum, and it was used as a feature for Speech/Music discriminator combined with the MFSC. The neural network was used as a Speech/Music discriminator, and we have reformed various experiments to evaluate the proposed method according to the training pattern selection, size and neural network architecture. From the results of Speech/Music discrimination, we found performance improvement and stability according to the training pattern selection and model composition in comparison to previous method. The MSDF and MFSC are used as a feature parameter which is over 50 seconds of training pattern, a discrimination rate of 94.97% for speech and 92.38% for music. Finally, we have achieved performance improvement 1.25% for speech and 1.69% for music compares to the use of MFSC.

• Journal of Families and Better Life
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• v.34 no.3
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• pp.147-163
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• 2016

Multicultural Family Support Centers (MFSC) have provided five program areas including family, gender equality, human rights, social integration, and counseling since 2015. It is important to examine the MFSC staff's perceptions of the family programs and program needs for multicultural families to improve the effectiveness of these programs. In this study, we aim to explore the staff's perceptions of the family programs and to assess multicultural family program needs based on the family life cycle. A total of 130 MFSC staff were recruited through 128 MFSCs across Korea. Descriptive statistics were conducted for data analysis. Our findings revealed that MFSC staff have increasingly recognized that their target audiences are not only marriage immigrants and their families but also foreign workers' families and families from North Korea. In addition, the MFSC staff identified the importance of family programs instead of only programs for individual family members and multicultural families' different program needs based on their family life cycle. Contrary to the positive perception of the family programs, they described challenges of the family programs including a shortage of funds, difficulty recruiting family member combinations (e.g., couples, parent-child) for family programs, a lack of a program manual, and a heavy workload. This study provides insights into the family programs including their development and delivery.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.157-164
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• 2013

This study analyzed how job stress of counselors at Multicultural Family Support Center effects on their psychological exhaustion. The purpose of this research is on suggesting efficient human resource administration plan by mitigating job stress using the result of analysis. In the result of analysis, MFSC counselors' job stress had an effect on emotional exhaustion, impersonalization, and a factor of decline in sense of self-perfection. Applying this result, this research proposed a necessity of realistic plan preparation to prevent job stress and psychological exhaustion of MFSC counselors.

• Women's Health Nursing
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• v.4 no.3
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• pp.429-440
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• 1998

A survey was conducted to examine the fatigue and the related factors in pregnancy. 426 pregnant women were recruited from antenatal clinic at 8 hospital from November 1, 1997 to January 1, 1998. Fatigue was measured by the Modification of the Fatigue Symptoms Checklist(MFSC) developed by the Industrial Fatigue Research Committee of the Japanese Association of Industrial health(Yoshitake, 1978). The MFSC consisted of 34 items with 4-point Likert scale. Minor discomfort during pregnancy was measured using a 14-item checklist with 4-point Likert scale. The data were analyzed by percentage, t-test, ANOVA and Pearson correlation. The major findings of study were as follows : 1. The average fatigue score during pregnacy was 63.02 and the average minor discomfort score was 26.92. 2. The fatigue score of nullipara was significantly lower than that of mutipara. There was a significant difference of fatigue score between pregnant women with conjugal family and those with extended family. The fatigue score during 1st trimester was the highest in comparison with that of 2nd and 3rd trimester of pregnancy. 3. The fatigue score of pregnant women who worked for house-keeping only was significantly lower than that of pregnant women who worked partially or did not work for house-keeping. 4. There were significant correlations among each type of measure of fatigue and discomfort. Fatigue was the most common symptom during pregnancy and related to type of family, house-keeping work, and parity. Nursing intervention such as self-car, relaxation, and nutrition would be developed to manage fatigue problem in pregnancy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3630-3656
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• 2018

Degree distribution can provide basic information for structural characteristics and internal relationship in social network. It is a critical procedure for social network topology analysis. In this paper, based on the mean-field theory, we study a special type of social network with exponential distribution of time intervals. First of all, in order to improve the accuracy of analysis, we propose a spreading coefficient algorithm based on intimate relationship, which determines the number of the joined members through the intimacy among members. Then, simulation show that the degree distribution of follows the power-law distribution and has small-world characteristics. Finally, we compare the performance of our algorithm with the existing algorithms, and find that our algorithm improves the accuracy of degree distribution as well as reducing the time complexity significantly, which can complete 29.04% higher precision and 40.94% lower implementation time.