• Asian-Australasian Journal of Animal Sciences
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• v.30 no.8
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• pp.1061-1065
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• 2017

Objective: This study was conducted to locate quantitative trait loci (QTL) influencing fatty acid (FA) composition in a large $F_2$ intercross between Landrace and Korean native pigs. Methods: Eighteen FA composition traits were measured in more than 960 $F_2$ progeny. All experimental animals were genotyped with 165 microsatellite markers located throughout the pig autosomes. Results: We detected 112 QTLs for the FA composition; Forty seven QTLs reached the genome-wide significant threshold. In particular, we identified a cluster of highly significant QTLs for FA composition on SSC12. QTL for polyunsaturated fatty acid on pig chromosome 12 (F-value = 97.2 under additive and dominance model, nominal p-value $3.6{\times}10^{-39}$) accounted for 16.9% of phenotypic variance. In addition, four more QTLs for C18:1, C18:2, C20:4, and monounsaturated fatty acids on the similar position explained more than 10% of phenotypic variance. Conclusion: Our findings of a major QTL for FA composition presented here could provide helpful information to locate causative variants to improve meat quality traits in pigs.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.137-146
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• 2017

This study explores the impacts of application attributes of coffee chains on consumer's re-purchase decision-making processes in the context of coffee chains. We posited coffee quality, service quality, and physical environment as key service attributes of coffee chains and personalization, usefulness, economy, and convenience as key application attributes. The moderating effect of application attributes on the relationship between consumer satisfaction and repurchase intention was investigated. The theoretical framework was tested based on 382 consumers who frequently visit coffee chains and install their applications. PLS method was used to analysis the hypotheses. The theoretical model accounts for 48.1% of variance in customer satisfaction and 41.6% of variance in repurchase intention. The analysis results showed that personalization and convenience play an moderating effect on consumer's repurchase decision-making processes. Coffee quality and physical environment were found to have significant effects on customer satisfaction, while service quality does not significantly influence consumer satisfaction. Brand image has a significant effect on customer satisfaction and repurchase intention.

• Korean Journal of Computational Design and Engineering
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• v.19 no.4
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• pp.324-331
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• 2014

In the design of a combat vehicle, various performances such as firepower, mobility and survivability, etc., should be considered. Furthermore, since these performances relate to each other, design framework which can treat an integrated system should be employed to design the combat vehicle. In this paper, we use empirical interior ballistic and 3D combat vehicle analyses for predicting firepower and mobility performances which are developed in previous study (1) integrated performance modeling. In firepower performance, pitch and roll angle by sequential firing are considered. In mobility performance, vertical acceleration after passing through a bump is regarded. However, since there are many design variables such as mass of vehicle, mass of suspension, spring and damping coefficient of suspension and tire, geometric variables of vehicle, etc., for firepower and mobility performance, we utilize analysis of variance and quality function deployment to reduce the number of design variables. Finally, integrated design optimization is carried out for integrated performance such as firepower and mobility.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.133-138
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• 2015

This paper presents a performance improvement of gray level co-occurrence matrix(GLCM) based on the nonuniform quantization, which is generally used to analyze the texture of images. The nonuniform quantization is given by Lloyd algorithm of recursive technique by minimizing the mean square error. The nonlinear intensity levels by performing nonuniformly the quantization of image have been used to decrease the dimension of GLCM, that is applied to reduce the computation loads as a results of generating the GLCM and calculating the texture parameters by using GLCM. The proposed method has been applied to 30 images of $120{\times}120$ pixels with 256-gray level for analyzing the texture by calculating the 6 parameters, such as angular second moment, contrast, variance, entropy, correlation, inverse difference moment. The experimental results show that the proposed method has a superior computation time and memory to the conventional 256-level GLCM method without performing the quantization. Especially, 16-gray level by using the nonuniform quantization has the superior performance for analyzing textures to another levels of 48, 32, 12, and 8 levels.

• Journal of the Korean Society of Food Culture
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• v.31 no.1
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• pp.105-110
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• 2016

The objective of this study was to determine sensory profiles of rice confections. The samples used in this study obtained from Korea (traditional Korea rice snack and local specialty rice snack) and three countries (USA, Japan, and China) were evaluated and compared. The sensory characteristics of five kinds of rice confections were evaluated using a sensory test and were analyzed via quantitative description analysis (QDA), principal component analysis (PCA), and hierarchical cluster analysis (HCA). In the descriptive analysis, 10 trained panelists evaluated sensory characteristics consisting of 19 attributes, and there were significant differences (p<0.05) among the 16 characteristics. For the descriptive data, multivariate analysis of variance was carried out and identified differences among the samples. The PCA of rice confections for the first two principal components could explain 85.66% of the variations. The Korean, Japanese, and Chinese rice confections were savory, gritty, and particle-sized, the other Korean local specialty rice confections were fruity, sweet, honey-flavored, compact, and crispy, and those from the USA were glossy, grainy, bright, adhesive, cohesive, crispy, and sweet.

• Journal of Korean Academy of Nursing
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• v.31 no.1
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• pp.126-138
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• 2001

The purpose of this study is to act nursing intervention strategies to promote quality of life (QOL) in Spinal Cord Injury patients. Therefore, the study is designed to evaluate religion, marital status, educational background economic status, level of injury, voiding pattern, transportation by driving, rehabilitation education, self-concept, sexual status, perceived barrier, powerlessness, depression, hope, social support, self-efficacy, anxiety, ADL, perceived hopelessness, personality and pain for QOL at the same time. It was gathered empirical data was collected using a self report questionnaire from 61 patients during a six month period after SCI at 5 general hospitals, at 2 rehabilitation centers and at 2 rehabilitation schools province from Jun. 18, 1999 through Sep. 28, 1999. The reliability of the 19 instruments was tested with Cronbach's alpha which ranged from .6319 to .9769. For the data analysis a SAS program was used for Pearson correlation coefficients, and stepwise multiple regression. The results were as follows; 1. The mean of total item score in the QOL scale was 2.814, which showed a much lower score than the cancer points. 2. There was a significant correlation between self concept, transportation by driving, perceived barrier, powerlessness, depression, hope, social support, self-efficacy, anxiety, ADL and QOL.(${\gamma}$= .27~-.79, p< .05) 3. Stepwise multiple regression analysis showed that; a) Depression was the main predictor of QOL and account for 53.7% of the variance in QOL. b) Hope, ecomic status and body satisfaction accounted for 8%, 4%, 3.4% respectively and these variables combined accounted for 69.2% of the variance in QOL. In conclusion, to begin with, it is important to reduce depression and to help for SCI points to inspire hope, economic status and body satisfaction. That will be short cut for nursing strategies to enhance QOL.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.102-112
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• 2012

In this paper, we propose a texture classification using wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features with WPCA (whitened principal component analysis) classifier. In the proposed method, the wavelet transform is first applied to a query image. The BDIP and BVLC operators are next applied to the wavelet subbands. Global moments for each subband of BDIP and BVLC are then computed and fused into a feature vector. In classification, the WPCA classifier, which is usually adopted in the face identification, searches the training feature vector most similar to the query feature vector. Experimental results show that the proposed method yields excellent texture classification with low feature dimension for test texture image DBs.

• Korean Journal of Applied Biomechanics
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• v.13 no.2
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• pp.101-114
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• 2003

The purpose of this study was to examine the major kinematicak variance to Increase the club head velocity during the driver swing two PGA prp-golfers utilizing 3-dimensional Image analyzing linear velocity of the club-head during the impact quantiatively. To achive these purpose, two high speed camera in 120 field/s and one high-speed camera in 500 field/s were used in this study. The program made by Younghoo Kwon(1944) was used to analysis the digitalization of reference point, digitalization of joint venter, synchronization, calculation of 3-Dimensional coordinate by DLT method, and smoothing. Through this study, the conclusions are as follow. 1. During the drivel swing, in the percentile of the total time, two pro-golfer showed 0.925, 0.929 second from adress to top-swing, 0.236, 0.929 second from top-swing to impact. 2. During the driver swing, in the displacement of the center of the body, two pro-golfer showed 45.3, 45.23% from adress, 44.3, 44.24% front impact. 3. In the velocity variance, The maximum club-head velocity two pro-golfer showed 43.36, 43.24m/s respectively the down swing. The ball velocity showed 63.12, 63.06m/s. 4. In the rotational angle of the shoulder joint. two pro-golfer showed $-13.5,-13.53^{\circ}$, during the back swing respectively. Two subject adressed opening status og upper body. 5. In the rotational angle of the right knee angle showed $156.3,154.7^{\circ}$ from the adress.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.7
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• pp.757-765
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• 2007

OFDM system is an excellent high speed transmission method but it is seriously sensitive to the phase noise and IQ imbalance. Therefore, in this paper, we analyze the communication performance of the OFDM communication system with IQ imbalance and phase noise. Phase noise's variance can be calculated by integral calculus of phase noise power spectrum. From simulation results, it can be shown that the BER performances show different change according to the phase noise variance and IQ imbalance amount. When amplitude imbalance is ${\varepsilon}$=0.2; 0.3; 0.4 and phase imbalance is ${\phi}=10^0$, and distribution of phase noise is ${\sigma}^2=0.012$, BER is degraded by 2.88 dB, 3.61 dB, 4.09 dB in $10^{-5}$ in the respect of the SNR penalty.

• Korean Journal of Adult Nursing
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• v.21 no.4
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• pp.423-434
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• 2009

Purpose: This study was conducted to evaluate successful aging (SA) in elderly individuals and to determine the factors that influence SA. Methods: The subjects included 207 elderly individuals from D city, Korea. The data were obtained between July 1 and August 30, 2008. The participants were assured of anonymity and confidentiality. For the evaluation, Kim & Shin's SA scale, Lawton's instrumental activities of daily living (IADL) scale, Jon's self-esteem scale, Kee's geriatric depression scale short form-Korean (GDSSF-K), and Hong's productive activities scale were used. The data were analyzed using descriptive statistics, the t-test, analysis of variance (ANOVA), and Pearson correlation coefficients; multiple regression analysis was performed using the SPSS/WIN 10.0 program. Results: The maximum score for SA was 34, and the mean score was 22.62. It was found that SA was significantly correlated to IADL, self-esteem, depression, and productive activity. Depression was the most powerful predictor of SA and it accounted for 40.6% of the total variance in SA. Self-esteem, productive activity, living situation, economic status, and age together accounted for 62.1% of the total variation in SA. Conclusion: Depression, self-esteem, and productive activity were identified as variables that influence SA. On the basis of these results, we conclude that nurses should assist elderly individuals in order to facilitate SA. Moreover, individualized nursing management strategies must be developed in order to facilitate SA.