• Food Science and Preservation
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• v.7 no.4
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• pp.357-361
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• 2000

Watercore influences storage and distribution industry of fruit. Therefore, the technique for nondestructive discrimination of watercore fruit is needed. This work reports about the possibility of watercore discrimination of ante using transmitted light, and the effects of various factors. CCD camera was used to capone images of each apple fruit. An excess watercore apples were higher light transmission score than little watercore apples. The accuracy fur discrimination of watercore apple was about 70% using transmitted light. Peel thickness, anthocyanin layer thickness and density of apple affected the light transmission. Apples having thin peel, thin pigment layer and low density tended to high transmitted light score. Apples of good color degree were more probability of existence watercore than ones of bad color degree. But color distribution of apple peel was not correlated with watercore.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.26-30
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• 2019

This paper proposes a new voice activity detection (VAD) method which is based on SNR and non-intrusive speech intelligibility estimation. In the conventional SNR-based VAD methods, voice activity probability is obtained by estimating frame-wise SNR at each spectral component. However these methods lack performance in various noisy environments. We devise a hybrid VAD method that uses non-intrusive speech intelligibility estimation as well as SNR estimation, where the speech intelligibility score is estimated based on deep neural network. In order to train model parameters of deep neural network, we use MFCC vector and the intrusive speech intelligibility score, STOI (Short-Time Objective Intelligent Measure), as input and output, respectively. We developed speech presence measure to classify each noisy frame as voice or non-voice by calculating the weighted average of the estimated STOI value and the conventional SNR-based VAD value at each frame. Experimental results show that the proposed method has better performance than the conventional VAD method in various noisy environments, especially when the SNR is very low.

• The Korean Journal of Nuclear Medicine Technology
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• v.13 no.3
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• pp.137-142
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• 2009

Purpose: World Health Organization (WHO) have suggested that an individual's 10-year absolute fracture risk is more reliable than Bone Mineral Density (BMD) measurement as the predictor of osteoporotic fracture. In 2008, Fracture Risk Assessment Tool ($FRAX^{TM}$) was developed by WHO to evaluate fracture risk of patients based on individual's clinical risk factors. The purpose of this study is to offer the comparative analysis of the existing GE prodigy and $FRAX^{TM}$ Tool in Absolute Fracture Risk Assessment Tool. Materials and Methods: 201 women ($55{\pm}3.5$ years) underwent femoral neck BMD measurement using GE Prodigy. The 10-year probability (%) of hip fracture (or a major osteoporosis-related fracture) was estimated using T-scores of GE prodigy and $FRAX^{TM}$. We made a comparative analysis of these data using SPSS (Ver.12). Results: There was a significant difference statistically between T-score ($-0.52{\pm}0.97$) of GE prodigy and T-score ($-1.45{\pm}0.81$) of $FRAX^{TM}$ (r=0.977, p=0.000). Also, there was a significant difference statistically between a major osteoporosis- related fracture ($9.15{\pm}3.71$) of GE prodigy and a major osteoporosis-related fracture ($4.87{\pm}1.51$) of $FRAX^{TM}$ (r=0.909, p=0.000). Moreover, a statistically significant difference was found in the 10-year probability of hip fracture of GE prodigy ($1.56{\pm}1.48$) and of hip fracture ($0.53{\pm}0.61$) of $FRAX^{TM}$ (r=0.905, p=0.000). Conclusions: There was a significant difference statistically between GE prodigy and $FRAX^{TM}$ Tool in Absolute Fracture Risk Assessment Tool. Especially, T-score, a major osteoporosis-related fracture and the 10-year probability of hip fracture that were estimated using GE prodigy tended to show the higher results than one evaluated by $FRAX^{TM}$ Tool. In conclusion, $FRAX^{TM}$ Tool may provide a better tool. The application of $FRAX^{TM}$ Tool as a fracture predictor remains to be clarified.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.679-686
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• 2020

In this thesis, an enhanced method for the feature extraction of vocal source signals and score combination using an MCE-Based weight estimation of the score of multiple feature vectors are proposed for the performance improvement of speaker recognition systems. The proposed feature vector is composed of perceptual linear predictive cepstral coefficients, skewness, and kurtosis extracted with lowpass filtered glottal flow signals to eliminate the flat spectrum region, which is a meaningless information section. The proposed feature was used to improve the conventional speaker recognition system utilizing the mel-frequency cepstral coefficients and the perceptual linear predictive cepstral coefficients extracted with the speech signals and Gaussian mixture models. In addition, to increase the reliability of the estimated scores, instead of estimating the weight using the probability distribution of the convectional score, the scores evaluated by the conventional vocal tract, and the proposed feature are fused by the MCE-Based score combination method to find the optimal speaker. The experimental results showed that the proposed feature vectors contained valid information to recognize the speaker. In addition, when speaker recognition is performed by combining the MCE-based multiple feature parameter scores, the recognition system outperformed the conventional one, particularly in low Gaussian mixture cases.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.580-593
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• 2013

Purpose: This study was conducted to develop and implement an educational program for cultural competence in nursing for nursing students, and to evaluate its effects on transcultural self-efficacy, intercultural communication competence, and state anxiety. Methods: A nonequivalent control group pretest-posttest design was used with an experimental group (n=22) and a control group (n=27). Outcome variables were measured by transcultural self-efficacy, intercultural communication competence, and state anxiety before and after the program. The experimental group participated in an educational course for cultural competence in nursing for 14 weeks while the control group did not participate in any course. Chi-square test, Fisher's exact probability test, t-test, MANCOVA, and ANCOVA were performed to analyze the data. Results: The experimental group showed significantly higher posttest scores in the transcultural self-efficacy score (F=19.76, p<.001, partial ${\eta}^2=.34$, observed power .99) and the intercultural communication competence score (F=17.56, p<.001, partial ${\eta}^2=.32$, observed power .98) than that of the control group. The experimental group showed a significantly lower state anxiety score (F=5.30, p=.027, partial ${\eta}^2=.12$, observed power .61) than that of the control group. Conclusions: This educational program was effective on nursing students' cultural competence. Therefore, it is suggested that this program be used for other nursing students. It is also necessary to evaluate its effects after a longer period.

• Journal of Korean Academy of Nursing
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• v.37 no.3
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• pp.414-421
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• 2007

Background: Nursing intervention studies often suffer from a selection bias introduced by failure of random assignment. Evaluation with selection bias could under or over-estimate any intervention's effects. PS matching (PSM) can reduce a selection bias through matching similar Propensity Scores (PS). PS is defined as the conditional probability of being treated given the individual's covariates and it can be reused to balance the covariates of two groups. Purpose: This study was done to assess the significance of PSM as an alternative evaluation method of nursing interventions. Method: An intervention study for patients with some baseline individual characteristic differences between two groups was used for this demonstration. The result of a t-test with PSM was compared with a t-test without matching. Results: The level of HbA1c at 12 months after baseline was different between the two groups in terms of matching or not. Conclusion: This study demonstrated the effects of a quasi-random assignment. Evaluation using PSM can reduce a selection bias impact that affects the result of the nursing intervention. Analyzing nursing research more objectively to reduce selection bias using PSM is needed.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.667-676
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• 2019

The purpose of this study was to assess the impact of childbirth on socioeconomic status changes of women. Data were collected from Korean Health Panel (2008-2015). A difference-in-differences model with propensity score matching was applied to assess the impact of childbirth on socioeconomic status changes. As a result, variables showing significant differences in the interaction terms indicating the impact of birth were the savings, economic activity, and occupational status. The impact of birth were significant in decreasing the amount of savings and negatively affecting women's economic activities, but in increasing the probability of full-time and regular employees in occupational status. Childbirth appears to have a negative impact on the home economics and socioeconomic status of women. The belief that home economies can be stabilized even after childbirth should be established, and a long-term and sustained support plan should be set up to realize this belief.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.79-94
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• 2018

The purpose of this study is to specify a probabilistic tracking mechanism for customer luxury purchase implemented by hidden Markov model, Bayesian inference, customer satisfaction and net promoter score. In this paper, we have designed a probabilistic model based on customer's actual data containing purchase or non-purchase states by tracking the SPC chain : customer satisfaction -> customer referral -> purchase/non-purchase. By applying hidden Markov model and Viterbi algorithm to marketing theory, we have developed the statistical model related to probability theories and have found the best purchase pattern scenario from customer's purchase records.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.601-613
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• 2012

It is required to design and implement secure web applications to provide safe web services. For this reason, there are several scoring frameworks to measure vulnerabilities in web applications. However, these frameworks do not classify according to seriousness of vulnerability because these frameworks simply accumulate score of individual factors in a vulnerability. We rate and score vulnerabilities according to probability of privilege acquisition so that we can prioritize vulnerabilities found in web applications. Also, our proposed framework provides a method to score all web applications provided by an organization so that which web applications is the worst secure and should be treated first. Our scoring framework is applied to the data which lists vulnerabilities in web applications found by a web scanner based on crawling, and we show the importance of categorizing vulnerabilities according to privilege acquisition.

• The Korean Journal of Community Living Science
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• v.16 no.1
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• pp.149-163
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• 2005

Family has emerged as a key concept for health, and it has been identified as one of the most important conditions. The relationship between health habit and its management is different depending on family. The odd pair family, mostly rural lower income class, worry to have poor health because of no spouse and small family size. One thousand eight hundred and seventy(1870) subjects were collected in 9 provinces through the sampling of Probability Proportional to Size (PPS). Questionnaire method was conducted on health checking, bath states, alcohol consumption, cigarette smoking, and the prevalence of farmer's health related problems. The main results were as follows: 1) The characteristics of odd pair families are that the head of household is female(77% ), the size of family is small(1.76 persons), the education level is low(7.5 years for male, 3.1 years for female) and the age group is old (male: 89.78 year old, female: 73.69 year old). 2) For the odd pair family, the frequency of health checking is quite low with one or two times per year(l0.2%) and the rate of no-health checking is much higher(35.8%) .3) Bathing utility is not available 29.6% of the odd pair family and only cold water is supplied at home for the 11.5 % of them. However, for the paired family, 9.8 % of them has no bathing utility and the rate of the family supplied with only cold water is just 7.9%. 4) The bathing frequency score of odd pair family is l.74points for male and 1.25 points for female. 5) The rate of smoking habits for odd pair family is 68.5 % and specially it is 7.6% for female, which is higher comparing with that of pair family. 6) The smoking frequency score of odd pair family is 1.57 points. 7) Alcohol drinking frequency score of odd pair family is 1.79 points for male, and 3.24points for female. 8) Farmers' syndrome(FS) revealed 38.7% of odd pair family and it is lower than that of pair family(57.3%). Special pain of FS was huckle bone and muscle(28.4%) and articular pain(24.l %). The pain rate of huckle bone and muscle(43.l %) and articular pain(33.5%) were higher in a year in odd pair family were lower than those of pair family: farming machine caused accidents(6.5%) and pesticide poisoning(5.7%). l0) The odd pair family use more frequently medical clinic or public health center for the treatment of FS(74.7%) and pesticide poisoning(62.5%) than the pair family for FS(69.0%) and for pesticide poisoning(.53.6%). The score of FS treatment is 5.70 points for odd pair family and it is not significantly different from 5.62 points of the paired family. The result of pesticide poisoning treatment score is as same as that of FS.