• Human Ecology Research
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• v.58 no.2
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• pp.131-148
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• 2020

This study examined the dual mediating effects of preschoolers' executive function and counterfactual thinking in the relationship between maternal reflective functioning and preschoolers' higher-order thinking. Participants included 293 preschoolers and their mothers in Daegu city and Gyeongsang province. The mothers completed questionnaires regarding their reflective functioning, preschoolers' executive function, and creative thinking. Teachers completed questionnaires regarding preschoolers' critical thinking and caring thinking. Preschoolers' counterfactual thinking was measured by interviews. Data were analyzed using descriptive statistics and Pearson correlation analysis with SPSS 25.0. Path analysis and bootstrapping were used with AMOS 25.0 program. Also, specific indirect effect were analyzed using AMOS user-defined estimand function. The primary results of this study are as follows. Maternal reflective functioning had an indirect effect on preschoolers' critical thinking and caring thinking through preschoolers' executive function and counterfactual thinking; however, maternal reflective functioning had no indirect effect on preschoolers' creative thinking through preschoolers' executive function and counterfactual thinking. This study revealed that maternal reflective functioning and preschoolers' executive function and counterfactual thinking need to be considered simultaneously to explain the level of preschoolers' higher-order thinking. The results highlight the dual mediating effects of preschoolers' executive function and counterfactual thinking in the relationship between maternal reflective functioning and preschoolers' higher-order thinking.

• The Journal of the Acoustical Society of Korea
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• v.13 no.2
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• pp.50-59
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• 1994

This paper presents a speech recognition method utilizing third-order cumulants as a feature vector and a neural network for recognition. The use of higher-order cumulants provides desirable uncoupling between the gaussian noise and speech, which enables us to estimate the coefficients of AR model without bias. Unlike the conventional method using second-order statistics, the proposed one exhibits low bias even in SNR as low as 0 dB at the expense of higher variance. It is confirmed through computer simulation that recognition rate of korean single-vowels with the cumulant-based method is much higher than the results with the conventional method even in low SNR.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.512-522
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• 2009

The purpose of this study is to analyze IT infrastructure of Korean apparel industry in order to enhance business effectiveness and customer's satisfaction in information society with global networks. For this study, the questionnaires were distributed to 57 apparel industries in Korea. The data were analyzed by factor analysis, descriptive statistics, Cronbach's alpha coefficient, multi regression analysis. The results of this study are as follow: First, Considering the apparel industry, construction of information system is essential for assistance of information policy and utilization of information. Understanding of e-business policy affects profits of suppliers. Second, Apparel industry with higher information policy has higher productivity with flexibility. Third, Apparel industry which has close relationship with suppliers has better customer support. Flexible scheduling and production line are important factors for quick response of customer's order and need.

• International Journal of Reliability and Applications
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• v.8 no.1
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• pp.1-16
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• 2007

In this paper, we derive exact explicit expressions for the triple and quadruple moments of the lower record values from inverse the Weibull (IW) distribution. Next, we present and calculate the coefficients of the best linear unbiased estimates of the location and scale parameters of IW distribution (BLUEs) for different choices of the shape parameter and records size. We then use the higher order moments and the calculated BLUEs to compute the mean, variance, and the coefficients of skewness and kurtosis of certain linear functions of lower record values. By using the coefficients of the skewness and kurtosis, we develop approximate confidence intervals for the location and scale parameters of the IW distribution using Edgeworth approximate values and then compare them with the corresponding intervals constructed through Monte Carlo simulations. Finally, we apply the findings of the paper to some simulated data.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.839-845
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• 2003

This paper introduces multichannel blind source separation (BSS) and multichannel blind deconvolution (MBD) based on higher order statistics of signals from convolutive mixtures. In particular, we are concerned with the case that the number of inputs is the same as the number of outputs. Simulations for two input two output cases are carried out and their performances are assessed. One of the major applications of those sequential algorithms (BSS and MBD) is demonstrated through the fault signal detection from only a single measurement of rotating machine, which offers a certain degree of practicability in the engineering field such as machine health monitoring or condition monitoring.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.8
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• pp.1498-1502
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• 2007

There have been many different definitions of energy functions as the second statistics of a signal. In this paper, using the higher order differential energy function, we propose an algorithm separating the amplitude and frequency components in a discrete sinusoidal signal. The proposed amplitude and frequency estimation methods have less computational requirement than the existing methods. It also shows large computational advantage over the root mean square (RMS) calculation of a signal. The proposed methods can be used in the detection of abnormal events in signals on the power line. Computer simulations show that proposed frequency estimation method can detect the presence of voltage increase or decrease for a short period of time. Also, the proposed estimation methods have been compared with existing methods in terms of estimation error variance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.183-191
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• 2013

The purpose of this study is to discover the effects of Reality Therapy group program on leadership life skills, sociality, and classroom unity of elementary school children. The objects of this research are the 34 elementary school children at the K elementary school in the S area of Kyunggi-do, and randomly divided into two groups. Scientific methods are employed to test a Reality Therapy group program as a treatment for elementary school children to increase their level of leadership life skills, sociality, and classroom unity. For this study, one experimental group and one control group, composed of 34 students in total, are organized and treatment is conducted on these groups. The SPSS 12.0 statstics program is employed to analyze the questionnaires of both-test. Mann-Whitney U and Multiple Linear Regression test are used to analyze the result in order to verify the differences between experienced group and controlled group of pre-test scores within the groups. First, the statistics show a difference in leadership life skills factors(p<.001) between the experimental group and the control group. The Reality Therapy group program is a significant predictor of the leadership life skills. These statistics prove that experimental group has higher leadership life skills than the other group. Second, the statistics show a difference in sociality factors(p<.01) between the experimental group and the control group. The Reality Therapy group program is a significant predictor of the sociality. These statistics prove that experimental group have higher positive sociality than the other group. Third, the statistics show a difference in classroom unity factors(p<.001) between the experimental group and the control group. The Reality Therapy group program is a significant predictor of the classroom unity. These statistics prove that experimental group have higher positive classroom unity than the other group.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.121-131
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• 2020

This study aims to investigate the interplay between education and local roads on Foreign Direct Investment (FDI) in the Philippines, using economic growth as an instrument. The study used the quantitative research design applying both descriptive and inferential statistics. A combination of Two Stage Least Square Regression Model and three approaches in Panel Regression Model such as Pooled Least Square, Fixed Effect Model, and Random Effect Model were utilized in order to study the effects of education and local roads on foreign direct investment of the Philippines. Based on Fixed Effect regression results, higher education graduates and local road investments, as conditioned by economic growth, were significant factors in order to increase the foreign direct investment in the Philippines. Accordingly, a unit increase in higher education graduates, as conditioned by economic growth, leads to 8.758 unit increases in the foreign direct investment. While, a unit increased in local road investments, as conditioned by economic growth, leads to a 0.002 decrease in foreign direct investment. The regression results of the study suggest that the Foreign Direct Investment in the regions such as CAR, I, II, IV-B, V, VIII, IX, X, XI, XII, XIII, and ARMM are higher compared to Region IV-A.

• Korean Journal of Community Nutrition
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• v.14 no.6
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• pp.807-816
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• 2009

This day's research analyzed the difference between brand personality, self - image congruity, job satisfaction and their influences towards employees of family restaurants in order to suggest a plan which would induce researcher's interest as well as influencing diversification of management strategies toward dining-out business. The purpose of this research is to analyse the difference between brand personality, self - image congruity, job satisfaction and their influences towards employees of family restaurants. The survey questionnaires were distributed to 300 employees of family restaurants in Seoul from August 1th until August 30th 2009, and 257 of them were used for analysis. The top seven company's were chosen by base on data from 2009 Annual Dinner of the Korea. Statistics handling of this research used SPSS WIN 17.0 statistics package program, which performed frequency analysis, factor analysis, regrssion anlysis. The research result shows, first of all, the relationship between company's brand personality and personal self - image congruity, it shows that the company's brand personality has higher on 'ability/capability, loyalty/fidelity, and strong' the personal self - image congruity appeared higher. The relationship between company's brand personality and social self-image congruity, it shows that the company's brand personality has higher on 'ability/capability and loyalty/fidelity' the social self-image congruity appeared higher. Second of all, in a relation between the self-image congruity and job satisfaction, the personal self-image congruity has shown positive impact on job satisfaction. Third of all, in a relationship between the company's brand personality and job satisfaction, if 'interest or loyalty/fidelity' shows higher on brand personality, than job satisfaction has shown higher.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.305-309
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• 2000

In this paper, we presents a new methodology for face recognition after analysing conventional ICA(Independent Component Analysis) based approach. In the literature we found that ICA based methods have followed the same procedure without any exception, first PCA(Principal Component Analysis) has been used for feature extraction, next ICA learning method has been applied for feature enhancement in the reduced dimension. However, it is contradiction that features are extracted using higher order moments depend on variance, the second order statistics. It is not considered that a necessary component can be located in the discarded feature space. In the new methodology, features are extracted using the magnitude of kurtosis(4-th order central moment or cumulant). This corresponds to the PCA based feature extraction using eigenvalue(2nd order central moment or variance). The synergy effect of PCA and ICA can be achieved if PCA is used for noise reduction filter. ICA methodology is analysed using SVD(Singular Value Decomposition). PCA does whitening and noise reduction. ICA performs the feature extraction. Simulation results show the effectiveness of the methodology compared to the conventional ICA approach.