• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.491-496
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• 2015

Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, the secure user authentication is required when the user is using cloud computing. This paper, we propose the enhanced AdaBoost algorithm for access cloud security zone. The AdaBoost algorithm despite the disadvantage of not detect a face inclined at least 20, is widely used because of speed and responsibility. In the experimental results confirm that a face inclined at least 20 degrees tilted face was recognized. Using the FEI Face Database that can be used in research to obtain a result of 98% success rate of the algorithm perform. The 2% failed rate is due to eye detection error which is the people wearing glasses in the picture.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.834-835
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• 2016

In recent years, advances in technology, IT is rapidly growing. Accordingly, real time image processing and multiple platforms, providing compatibility with OpenCV for image processing technology research on actively in progress. At present, different, comparing the images to determine the similarity is low, the system will match the rate of people using the analogue figures to determine the system is for the most part. In this paper, Template Matching of OpenCV and Feature Matching utilizing different images to determine the similarity between digital values for the system. A comparison of the features of a specific point on the screen the image to extract the same feature in a different size, you can compare the features of the target image recognized as compared to three historic castle in comparison, verification. This is the voice and image recognition and analysis, check the matching rate readings than in Zhengzhou treatment techniques are available. The future of forensic and other image processing technologies for OpenCV studies will be needed to feed.

• Korean Journal of Community Nutrition
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• v.15 no.4
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• pp.445-459
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• 2010

This study was done to analyze the chronic diseases prevalence and dietary intake status according to the health related quality of life and to identify its significant properties. This study was conducted based on 2906 subjects ranging from 20~64 years old, out of 9704 total subjects from the 4th Korean National Health and Nutrition Survey in 2008. The average quality of life (QL) score was 0.915, where 983 subjects were below the average (low QL group) and 1923 subjects were above (high QL group). In the high QL group, there was more likely to be young, male, and with higher income and education. For high QL group, the self-related health score was high, and the subjective stress level was low. The prevalence of diabetes was significantly higher in the low QL group and anthropometric and biochemical measures were not shown differences between the two groups but waist circumference was significantly higher in the low QL group. The QL score was significantly negative correlated with the waist circumference and the body mass index. As for the recognition rate of Nutrition Guideline, there were no significant differences but high QL group had higher scores in "Eat a variety of foods", "Avoid too much Sodium", and "Enjoy meals and Eating a breakfast". Carbohydrate intake was significantly lower in the high QL group than in low QL group and the high QL group showed higher intake in legumes, meat and poultry, fruits, daily products and beverages. Overall results suggest that increased diabetes prevalence in people with low quality of life might be affected by the diets based on high carbohydrate, increased waist circumference, and lower rate of practice nutritional guideline.

• Phonetics and Speech Sciences
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• v.7 no.3
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• pp.139-149
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• 2015

This paper aims to analyze pronunciation variations of loanwords produced by Korean and improve the performance of pronunciation modeling of loanwords in Korean by using syllable-based segmentation and phonological knowledge. The loanword text corpus used for our experiment consists of 14.5k words extracted from the frequently used words in set-top box, music, and point-of-interest (POI) domains. At first, pronunciations of loanwords in Korean are obtained by manual transcriptions, which are used as target pronunciations. The target pronunciations are compared with the standard pronunciation using confusion matrices for analysis of pronunciation variation patterns of loanwords. Based on the confusion matrices, three salient pronunciation variations of loanwords are identified such as tensification of fricative [s] and derounding of rounded vowel [ɥi] and [$w{\varepsilon}$]. In addition, a syllable-based segmentation method considering phonological knowledge is proposed for loanword pronunciation modeling. Performance of the baseline and the proposed method is measured using phone error rate (PER)/word error rate (WER) and F-score at various context spans. Experimental results show that the proposed method outperforms the baseline. We also observe that performance degrades when training and test sets come from different domains, which implies that loanword pronunciations are influenced by data domains. It is noteworthy that pronunciation modeling for loanwords is enhanced by reflecting phonological knowledge. The loanword pronunciation modeling in Korean proposed in this paper can be used for automatic speech recognition of application interface such as navigation systems and set-top boxes and for computer-assisted pronunciation training for Korean learners of English.

• The Journal of the Acoustical Society of Korea
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• v.16 no.2
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• pp.71-79
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• 1997

In this paper, a codeword-dependent distance normalization(CDDN) and an instar-formed fuzzy smoothing of output distribution are proposed for robust estimation of output probabilities in the FVQ(fuzzy vector quantization)-DHMM(discrete hidden Markov model). The FVQ-DHMM is a variant of DHMM in which the state output probability is estimated by the sum oft he product of the output probability and its weighting factor for each codeword on an input vector. As the performance of the FVQ-DHMM is influenced by weighting factor and output distribution from a state, it is required to get a method to get robust estimation of weighting factors and output distribution for each state. From experimental results, the proposed CDDN method has reduced 24% of error rate over the conventional FVQ-DHMM, and also reduced 79% of error rate when the smoothing of output distribution is also applied to the computation of an output probability. These results indicate that the use of CDDN and the fuzzy smoothing of output distribution to the FVQ-DHMM lead to improved recognition, and therefore it may be used as an alternative to the robust estimation of output probabilities for HMMs.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.51-56
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• 2007

Feature functions were used for the classification of music. The spectral roll-off, variance, average peak level, and class were chosen to make up a feature function vector. Among these, it is the spectral roll-off function that has a low-frequency to high-frequency ratio. To find the optimal roll-off point, the roll-off points from 0.05 to 0.95 were swept. The classification success rate was monitored as the roll-off point was being changed. The data that were used for the experiments were taken from the sounds made by a modern violin and a baroque one. Their shapes and sounds are similar, but they differ slightly in sound texture. As such, the data obtained from the sounds of these two kinds of violin can be useful in finding an adequate roll-off point. The optimal roll-off point, as determined through the experiment, was 0.85. At this point, the classification success rate was 85%, which was the highest.

• The Mathematical Education
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• v.43 no.2
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• pp.115-137
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• 2004

In this paper, we verified the effect and appropriateness of the scheme to cure the math. disliking disposition which is the cause of underachievement in learning. We choose 3 middle schools as the subject of experiment for this research. Each experiment class consists of 27∼30 students(underachievers) whose final test results of 1st school year in the middle school are 30∼60 points. In this case, we also select some middle level students whose test results are more than 60 points for the normal experimental condition. For this research, we developed the suitable test materials to cure the mathematics disliking disposition of underachievers. We applied those test materials to the experiment schools during 2.5 months and we analysed the variation of disliking disposition, the variation of math. dislike students' number and the cure rate of the math. disliking disposition. From the results of this experimental study, we find that the factors of teacher and math recognition environment have only the significant difference of math. disliking disposition between experiment class and comparison class under the 5% significance level in one middle school. We understand that this results caused by teachers' careful advice and guidance in that middle school. We also find that the number of student who dislike mathematics decreased in two middle schools. Furthermore 50% of math. disliking dispositions are cured for 9 disliking factors in the lower grade group(the group of underachievers) and as a whole, we can see that 50% of cure rate for the 7 factors of math. disliking in two middle schools. So we can understand that the experiment of our research was performed successfully in two middle schools. In this research, we find out that the scheme to cure the disliking dispositions for the factors of math. disliking depends on the factors of teacher who take charge of cure. So teachers must take interest in and must have careful concern to students and their math. disliking.

• Journal of the Korean Geotechnical Society
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• v.18 no.5
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• pp.123-132
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• 2002

The purpose of this study is to predict the shear behavior of the weathered mudstone soil using dynamic neural network which mimics the biological system of human brain. SNN and RNN, which are kinds of the dynamic neural network realizing continuously a pattern recognition as time goes by, are used to predict a nonlinear behavior of soil. After analysis, parameters which have an effect on learning and predicting of neural network, the teaming rate, momentum constant and the optimum neural network model are decided to be 0.5, 0.7, 8$\times$18$\times$2 in SU model and 0.3, 0.9, 8$\times$24$\times$2 in R model. The results of appling both networks showed that both networks predicted the shear behavior of soil in normally consolidated state well, but RNN model which is effective fir input data of irregular patterns predicted more efficiently than SNN model in case of the prediction in overconsolidated state.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.74-86
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• 2017

Purposes: This study was performed to understand the recognition about accreditation motives, support within the hospital and accreditation survey process for the hospitals that participated in the accreditation program and to find out whether these factors are related to hospital management performances, so that the study can suggest plans for activation and development of the accreditation program. Methodology: This study was performed targeting 98 hospitals answered th the survey among 189 acute care hospitals that acquired accreditation from December 2010 to February 2014. For data analysis, frequency analysis, ${\chi}^2$-test, reliability analysis, ANOVA, Kruskal-Wallis H test and multiple regression analysis with SPSS 21.0 were used. Findings: The hospitals that had staff in charge of patient safety had bigger hospital culture change than those that didn't have(p<.05). In addition, the hospital culture change was bigger as internal motives were bigger, and as CEO's will was bigger(p<.05). Meanwhile, as maintenance rate of internal management after accreditation was higher, and as CEO's will was bigger, process improvement level was higher(p<.05). The quality improvement and patient satisfaction level were higher as CEO's will was bigger, and as suitability of survey process was recognized to be high(p<.05). As a result of analyzing the factors that affect hospital management performances with hospital culture change, process improvement and quality improvement combined, as internal management maintenance rate was higher, as CEO's will was bigger, and as suitability of survey process was higher, performances were higher(p<.05). Practical Implications: Hospitals need to reinforce internal motives to improve internal competences such as the whole system maintenance opportunity and staff training. In addition, the will of hospital director is most important, and if there is hospital director's interest in quality improvement and improvement intention definitely, employees voluntarily participate in and cooperate with the accreditation program, so that prompt medical service provision and high quality of medical services can be guaranteed, leading to hospitals' management performances.

• Korean Journal of Community Nutrition
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• v.19 no.5
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• pp.425-435
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• 2014

Objectives: The purpose of this study was to develop a Na-reduction education program and apply it for cooks who prepare meals in day-care centers. To development of the program was based on increasing the self-awareness of salinity, eating behaviors and enforcing skills of low-Na cooking. Methods: The study was carried out from April to October in 2013, fifty five cooks participated in this program. The Na reduction program composed of 4 sessions of education which included a 90-minute lecture and self-reevaluation of personal salt-sensitivity degree and three low Na recipe cooking classes. In order to measure the effectiveness of the program, the pretest and posttest of salinity of the soups provided by day care centers was conducted at registration and 5 month after the program with the same menu. Results: After the conduct of the program, salimeter using rate was increased from 8.2% to 94.6% after the program and the other measuring instruments using rate was gradually increased. We observed that the score on eating behaviors increased 1.51 points from 38.80 to 40.31 after the intervention program (p < 0.001). Further, increased knowledge and skill provided by the intervention program resulted in improved Na-reduction cooking capability. According to the results from analyzing the soup salinity, the salinity in watery soup was significant reduced from 0.556 to 0.449 0.107 and soybean-paste soup was significant reduced from 0.669 to 0.551 after the intervention program (p < 0.001). Conclusions: As the result of fact, the intervention programs that was based on self-reevaluation, to enforce practical skill and consciousness was effective to serve low sodium menu at day care centers.