• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.810-831
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• 2019

Recently, continuous dimensional emotion recognition from audiovisual clues has attracted increasing attention in both theory and in practice. The large amount of data involved in the recognition processing decreases the efficiency of most bimodal information fusion algorithms. A novel algorithm, namely the incomplete Cholesky decomposition based kernel cross factor analysis (ICDKCFA), is presented and employed for continuous dimensional audiovisual emotion recognition, in this paper. After the ICDKCFA feature transformation, two basic fusion strategies, namely feature-level fusion and decision-level fusion, are explored to combine the transformed visual and audio features for emotion recognition. Finally, extensive experiments are conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset. The experimental results show that the ICDKCFA method has a higher speed than the original kernel cross factor analysis with the comparable performance. Moreover, the ICDKCFA method achieves a better performance than other common information fusion methods, such as the Canonical correlation analysis, kernel canonical correlation analysis and cross-modal factor analysis based fusion methods.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.4
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• pp.19-28
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• 2023

Purpose - research the main methods of financial analysis of corporation in the condition of inflationary processes: the analysis of financial sustainability, liquidity, profitability and etc. Research design, Data, and methodology - the main methodical aspects of financial analysis of operations in the conditions of inflation, their efficiency are presented in the theses. Also the main financial indicators are generalized and systematized with the factor of inflation. The general scheme of adjusting the analysis of financial stability for the factor of inflation is presented. Result - The specifics of adjusting the company's assets and liabilities for the factor of inflation during the analysis of prospective financial stability are details revealed in the article. The features of a comprehensive prospective assessment of liquidity and the financial stability are determined. Conclusion - The account of factor of inflations in the financial operations enable reduce the losses, to identify the price of price strategy on the market, to analyze the problematic situations and develop scenarios for the development of the organization's activities in these conditions. The article the limitations and recommendations for adjusting for the factor of inflation are presented, including the necessary to clearly define the levels of their detail, since the study may be overloaded with calculations.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.737-744
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• 2005

This study was aimed to provide the measurement data and shape classification of the head of the Korean male children for the headwear sizing systems. Five hundred twenty male children, aged nine to twelve years, participated f3r this study. The 17 regions on the head and height, weight of the subjects were directly measured by the expert experimenters. Factor analysis, cluster analysis, GLM analysis and Tukey HSD test were performed using these data. Through factor analysis, low factors were extracted upon factor scores and those factors comprised $69.76\%$ for the total variances. Three clusters as their head shape were categorized using four factor scores by cluster analysis. Type 1 was characterized by the widest width and Bitragion arc, shortest head length. Type 2 had the longest head length and the widest side width and the highest head length and head circumference. Type 3 was characterized by the smallest head circumstance, head width and side width, and medium head length.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.846-847
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• 2011

This paper presents the study on analysis of single phase induction motor characteristics by equivalent circuit. For high efficiency of single phase induction motor, the motor parameters used for equivalent circuit analysis is important. The accuracy of equivalent circuit analysis of motor depends on the circuit parameters like saturation factor. Therefore this paper proposed the analysis method considering saturation factor. The saturation factor was calculated by iteration routine and numerical method. this proposed method was verified by FEM analysis results and dynamo test results of the prototype model.

• Journal of Agricultural Extension & Community Development
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• v.15 no.4
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• pp.577-597
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• 2008

The purpose of this study is to examine the effects of residents' perceptions of tourism impact and conflicts on residents' participation in rural tourism village. Method of analysis involves factor analysis and regression analysis in this study. In order to measure the level of perception, three factors(economic benefits, social benefits, social and environmental cost) are derived from the factor analysis. And also in order to measure the level of conflict, two factor(openness of information, leading of operation) are derive from the factor analysis. The result of regression analysis indicate that perceived economic benefits and social benefits are rather greater impacts on residents' participation than social and environmental cost, and also openness of information is rather greater impacts on residents' participation than leading of operation.

• Journal of the Korean Chemical Society
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• v.36 no.5
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• pp.720-726
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• 1992

Multivariate analysis such as factor analysis was applied to interpret multivariate data, which were obtained from the overlapped X-ray fluorescence spectra. X-ray fluorescence spectra of 11 reference samples were obtained by the wavelength dispersive spectrometer at a specified range of angle such as $33.50∼34.50^{\circ}$. The data matrix was made from the spectra of 8 samples. The results of abstract factor analysis gave three factors. By the target testing with 8 elements contained in the reference samples, the three factors were found to be Pb, As and Cu. The concentration of these elements in the test samples was determined by target transformation factor analysis regardless overlapping individual peaks.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.597-607
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• 2011

Value at Risk(VaR) is being widely used as a simple tool for measuring financial risk. Although VaR has a few weak points, it is used as a basic risk measure due to its simplicity and easiness of understanding. However, it becomes very difficult to estimate the volatility of the portfolio (essential to compute its VaR) when the number of assets in the portfolio is large. In this case, we can consider the application of a dimension reduction technique; however, the ordinary factor analysis cannot be applied directly to financial data due to autocorrelation. In this paper, we suggest a dimension reduction method that uses the time-series factor analysis and DCC(Dynamic Conditional Correlation) GARCH model. We also compare the method using time-series factor analysis with the existing method using ordinary factor analysis by backtesting the VaR of real data from the Korean stock market.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.1
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• pp.1-14
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• 2010

Backgrounds : Bojungikgitang is one of the most common herbal prescriptions in Oriental Medicine, and it is highly recommended prescription for Nogwonsang syndrome. The Author developed Nogwonsang questionnaire for quantitative evaluation. Nogwonsang questionnaire is consisted of causes that induce fatigue, symptoms that directly associated with fatigue, and secondary symptoms that is induced from fatigue. Purposes : This study aims to verify whether the Bojungikgitang Questionnaire has causality and meaningful path structure by path analysis. Methods : 242 patients from 12 OMD clinics participated in this study. The patients executed a question investigation in the object. Factor analysis was conducted for extraction of factor and abridgment of items. Path analysis was conducted to verify path structure. SPSS 15.0 for Windows and AMOS 7.0 were used for statistical analysis. Results : Overwork factor explains fatigue factor. Coefficient is 0.771. Fatigue factor explains digesting and cold factor. Individually coefficient is 0.632 and 0.465. Model fit is $X^2=61.395$(df=51), GFI=0.960, AGFI=0.939, NFI= 0.924, CFI=0.986, RMSEA=0.029. Path structure is proved to be significant. Conclusions : Further research is needed Gold standard of Nogwonsang. Establishment of Gold standard leads and the collection of data and the research which are objective are possible. Connection of the clinical indexes which are objective on the paperweight outside and leads and the development of the diagnosis tool which is fixed quantity is demanded.

• Proceedings of the Korea Society of Design Studies Conference
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• 1998.04a
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• pp.68-69
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• 1998

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.8
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• pp.1262-1272
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• 2009

The study is classifies the figures of obese women aged 20-50 with an over 25 BMI from the data of the fifth Size Korea in 2005. As the result of conducting the factor analysis for segmenting the shape, Factor 1, Factor 2, Factor 3, and Factor 4 are respectively derived as the factor on a volume, the factor on the size of the vertical direction, the factor on the shoulder region, and the factor on the body length balance. As the result of conducting the cluster analysis using 4 factors (scores extracted from the analysis of factor analysis) the body type of obese women was classified into four types. The name of shape was specified by combining 'P' (an abbreviation of petite) that indicated the height (smaller than 155cm) among the height names of KS standard, 'R' (abbreviation of regular) that indicated the height (155cm-165cm) and the body characteristics. Type 1 had the longest length, and normal circumference, thickness, and width but with the developed shoulder. Type 1 was classified as a robust, 'Plus-RH'. Type 2 had the middle height, the shortest length of the upper part, a relatively-long length of the lower part of body. Type 2 shows the characteristics of a small body that was classified as 'Plus-PI'. The most obese body was Type 3 that had the normal length and shoulder size but showed the longest length of the upper part of the body; it was classified as 'Plus-PO'. Type 4 as the small shape had a potbelly and showed the characteristics of the shortest body classified as 'Plus-Pb'.