• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.367-369
• /
• 2022

In this paper, the predicted results were confirmed by label mapping for each class while implementing multi-class image classification to confirm accurate results for images in which the trained model failed classification. A CNN model was constructed and trained using Kaggle's Intel Image Classification dataset, and the mapped label values of multiple classes of images and the values classified by the model were compared by label mapping the images of the test dataset.

• Journal of the Korean Society for Precision Engineering
• /
• v.14 no.1
• /
• pp.194-204
• /
• 1997

In this paper, we consider the rational approximation of multiple input delay systems. The method of computing Hankel singular values and vectors is firstly introduced, where explicitly shows the structure of the corresponding Hankel singular vectors. Secondly, rational approximants are obtained from output nor- mal relizations, which are constructed by Hankel singular values and vectors. As a result, it is shown that rational approximants by output normal realization preserve intrinsic properties of time delay systems than Pad'e approximants.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.60 no.1
• /
• pp.57-70
• /
• 2024

In order to present a predictive drift model, Jeju National University's training ship was tested for about 11 hours and 40 minutes, and 81 samples that selected one of the entire samples at ten-minute intervals were subjected to regression analysis after verifying outliers and influence points. In the outlier and influence point analysis, although there is a part where the wind direction exceeds 1 in the DFBETAS (difference in Betas) value, the CV (cumulative variable) value is 6%, close to 1. Therefore, it was judged that there would be no problem in conducting multiple regression analyses on samples. The standard regression coefficient showed how much current and wind affect the dependent variable. It showed that current speed and direction were the most important variables for drift speed and direction, with values of 47.1% and 58.1%, respectively. The analysis showed that the statistical values indicated the fit of the model at the significance level of 0.05 for multiple regression analysis. The multiple correlation coefficients indicating the degree of influence on the dependent variable were 83.2% and 89.0%, respectively. The determination of coefficients were 69.3% and 79.3%, and the adjusted determination of coefficients were 67.6% and 78.3%, respectively. In this study, a more quantitative prediction model will be presented because it is performed after identifying outliers and influence points of sample data before multiple regression analysis. Therefore, many studies will be active in the future by combining them.

• 한국사회복지학회:학술대회논문집
• /
• 2005.04a
• /
• pp.677-702
• /
• 2005

The purpose of this study is to examine the Korean social workers' level of social work values, advocacy attitude and advocacy intervention, and to verify the relations among social work education, social work advocacy and social work values by examining whether social work education influences social work advocacy and social work values, and whether social work values affect social work advocacy. Further, this study wishes to confirm not only the direct effect that social work education has on social work advocacy, but also how social work education indirectly influences social work advocacy through social work values on the social level as a mediator. The research of this study was conducted on 461 social work practitioners who have obtained either social worker licenses or mental health social worker licenses and are currently working in the field. As survey tools, this study utilized social work advocacy attitude, social work advocacy intervention, outcomes of social work education, social work values, self-esteem and locus of control. Collected data were analyzed by using SPSS/PC+ 11.5 for one-way ANOVA and t-test, Pearson's correlation, reliability analysis, exploratory factor analysis and multiple regression. To sum up the results of the study in terms of the research hypothesis, the research hypothesis was established according to the analysis method of the testing mediation of Baron & Kenny (1986) in order to examine whether social work values on the social level intervene between social work education and social work advocacy. The results of the hypothesis test confirm that social work values on the social level serve as a mediator variable.

• Journal of Korea Multimedia Society
• /
• v.20 no.8
• /
• pp.1406-1420
• /
• 2017

Artificial neural networks (ANNs) play an important role in the fields of function approximation, prediction, and classification. ANN performance is critically dependent on the input parameters, including the number of neurons in each layer, and the optimal values of weights and biases assigned to each neuron. In this study, we apply the particle swarm optimization method, a popular optimization algorithm for determining the optimal values of weights and biases for every neuron in different layers of the ANN. Several regression models, including general linear regression, Fourier regression, smoothing spline, and polynomial regression, are conducted to evaluate the proposed method's prediction power compared to multiple linear regression (MLR) methods. In addition, residual analysis is conducted to evaluate the optimized ANN accuracy for both training and test datasets. The experimental results demonstrate that the proposed method can effectively determine optimal values for neuron weights and biases, and high accuracy results are obtained for prediction applications. Evaluations of the proposed method reveal that it can be used for prediction and estimation purposes, with a high accuracy ratio, and the designed model provides a reliable technique for optimization. The simulation results show that the optimized ANN exhibits superior performance to MLR for prediction purposes.

• Journal of Families and Better Life
• /
• v.30 no.3
• /
• pp.105-118
• /
• 2012

This study aims to recognize cognition of credit card and shopping value in contemporary society, cognition of credit card and shopping value according to types of consumption orientation, and factors that influence cognition of credit card and shopping value, and ultimately provide a foundation for establishing proper shopping value. A total of 453 women and men residing in Seoul have been set as research object in order to achieve the purpose of the study. The data was analyzed by Cronbach' alpha, frequencies, percentile, mean, factor analysis, K-mean cluster analysis, t-test, ANOVA and Duncan's multiple range test, multiple linear regression. All analysis progress was done by spsswin12.0 statistics program. A summary of this research goes as follows: First, categorization of consumption orientation lead to two clusters of rational and symbolic & conspicuity consumption patterns and cognition of credit card was categorized into positive and negative cognition and shopping value was categorized into hedonic shopping value, utilitarian shopping value and time-save shopping value. Second, rational shoppers had high utilitarian shopping values and symbolic & conspicuity shoppers had high both hedonic shopping values and utilitarian shopping values. Third, the most influential factor in hedonic shopping value and utilitarian was consumption orientation. In conclusion, this research has showed that cognition of credit card and shopping value according to types of consumption orientation patterns varied, and that consumption orientation was an influential factor on cognition of credit card and shopping value.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.20 no.4
• /
• pp.587-595
• /
• 2014

Purpose: This study undertakes to identify factors influencing the perception university students in Korea hold toward having children. Method: A cross-sectional, descriptive study was conducted on 187 university students (79 males and 108 females) from one university located in a metropolitan area. Participating students completed a packet of self-report questionnaires on values concerning gender roles, marriage, family and children along with their personal demographic details. The resulting data were analyzed using t-tests, one-way ANOVA and Pearson's correlation coefficients as well as descriptive statistics. Stepwise multiple regression was performed to identify factors that most influenced the value of children held among university students. Results: The value of having children was negatively associated with the value of family, but positively associated with the value of marriage. In addition, the value of family had a negative relationship with the value of marriage, but a positive relationship with the value of gender role. Stepwise multiple regression found that the equation consisting of gender and value of marriage explained about 42.0% of the variance of the value of having children. Conclusion: Considering the findings from this study, programs promoting the positive values of marriage are required for university students to have positive values toward having children.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.12
• /
• pp.2791-2797
• /
• 2010

In recent years, the goal of providing high speed wireless data services has generated a great amount of interest among the research community. Several researchers have shown that the capacity of the system, in the presence of flat Rayleigh fading, improves significantly with the use of combined MIMO and LDPC. To feed the soft values to LDPC decoder, the soft values must be calculated from multiple transmitter and receiver antennas in Rayleigh fading channel. It requires high computational complexity to get the soft symbols by increasing number of transmitter and receiver antennas. Therefore, this thesis proposed on effective algorithm for calculation of soft values from multiple antennas based on LLR. As result, This thesis shows that maximum 61% of computational complexity is reduced with a little loss of performance.

• Journal of the Semiconductor & Display Technology
• /
• v.9 no.3
• /
• pp.17-21
• /
• 2010

As the compact and easily accessible handheld devices, such as cellular phones and MP3 players equipped with image acquisition functionality, are becoming widely available among common users, various applications of images are rapidly increasing. Image related services and software such as web-based image presentation and image manipulation for personal or commercial purpose enable users to view contents of remote image archive and to manipulate enormous amount of images in local or network based storage as well. It is necessary for users to identify the images efficiently so that the same images are perceived as one physical entity instead of recognizing them as different images as the trends are getting stronger. In order to support this environment, we propose a method that generates image identifiers or indexing for images within a solid and efficient manner. The proposed image identifier utilizes multiple index values. The integration of component index values creates a unique composite value that can be used as a file name, file system identifier, or database index. Our experimental results on generation of constituent index values have shown favorable results.

• The Korean Journal of Applied Statistics
• /
• v.26 no.5
• /
• pp.797-806
• /
• 2013

Meta-analysis is used in variety of areas to synthesize the results of previous studies. Among the methods for Meta-analysis, combining p-values is the simplest method; in addition Tippett (1931), Fisher (1932), Stuoffer at al. (1949), proposed various methods to combine p-values. We propose a new method to combine p-values based on exponential distribution. A Monte Carlo simulation study compares the power of the proposed methods with previous methods.