• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.85-90
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• 2006

In this paper, we propose the content-based music information retrieval system with improved retrieval speed and stable performance while maintaining resonable retrieval accuracy In order to solve the in-stable system problem multi-feature clustering (MFC) is used to setup robust music DB. In addition, the music retrieval speed was improved by using the Superclass concept. Effectiveness of the system with SuperClass and without SuperClass is compared in terms of retrieval speed, accuracy and retrieval precision. It is demonstrated that the use of WC and Superclass substantially improves music retrieval speed up to $20\%\~40\%$ while maintaining almost equal retrieval accuracy.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.669-680
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• 2012

Noise removal of document images is a necessary step during preprocessing to recognize characters effectively because it has influences greatly on processing speed and performance for character recognition. We have considered using the spatial filters such as traditional mean filters and Gaussian filters, and wavelet transformed based methods for noise deduction in natural images. However, these methods are not effective for the noise removal of document images. In this paper, we present noise removal of document images using support vector regression. The proposed approach consists of two steps which are SVR training step and SVR test step. We construct an optimal prediction model using grid search with cross-validation in SVR training step, and then apply it to noisy images to remove noises in test step. We evaluate our SVR based method both quantitatively and qualitatively for noise removal in Korean, English and Chinese character documents, and compare it to some existing methods. Experimental results indicate that the proposed method is more effective and can get satisfactory removal results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.2C
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• pp.41-48
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• 2005

In this paper, we present a low complexity modified Gaussian model based pre-processing filter to improve the performance of H.264 compressed video. Video sequence captured by general imaging system represents the degraded version due to the additive noise which decreases coding efficiency and results in unpleasant coding artifacts due to higher frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved for given quantization step size. In addition, in order to reduce the complexity of the pre-processing filter, the simplified local statistics and quantization parameter are introduced. The simulation results show the capability of the proposed algorithm.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.823-826
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• 2008

Statistical methods were used in the analysis of data, which are the SNR and SDNR in describing the various natures, and the methodology relating the results with the operation was developed. Multiple regression analysis based on the results of statistics of data were SNR = 0.0219 + 0.000044BOD lording - 0.00600C/N ratio and SDNR = 0.0226 + 0.000044BOD lording - 0.00602C/N ratio. It were concluded that the variability of the process performance should be reflected to the operation condition procedure through the analysis based on the statistics methods.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.888-893
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• 2021

The International Atomic Energy Agency has developed a tomographic imaging system for accomplishing the total fuel rod-by-rod verification time of fuel assemblies within the order of 1-2 h, however, there are still limitations for some fuel types. The aim of this study is to develop a deep learning-based denoising process resulting in increasing the tomographic image acquisition speed of fuel assembly compared to the conventional techniques. Convolutional AutoEncoder (CAE) was employed for denoising the low-quality images reconstructed by filtered back-projection (FBP) algorithm. The image data set was constructed by the Monte Carlo method with the FBP and ground truth (GT) images for 511 patterns of missing fuel rods. The de-noising performance of the CAE model was evaluated by comparing the pixel-by-pixel subtracted images between the GT and FBP images and the GT and CAE images; the average differences of the pixel values for the sample image 1, 2, and 3 were 7.7%, 28.0% and 44.7% for the FBP images, and 0.5%, 1.4% and 1.9% for the predicted image, respectively. Even for the FBP images not discriminable the source patterns, the CAE model could successfully estimate the patterns similarly with the GT image.

• Communications for Statistical Applications and Methods
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• v.27 no.5
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• pp.569-578
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• 2020

Various graph clustering methods have been introduced to identify communities in social or biological networks. This paper studies the entropy-based and the Markov chain-based methods in clustering the undirected graph. We examine the performance of two clustering methods with conventional methods based on quality measures of clustering. For the real applications, we collect the mathematical subject classification (MSC) codes of research papers from published mathematical databases and construct the weighted code-to-document matrix for applying graph clustering methods. We pursue to group MSC codes into the same cluster if the corresponding MSC codes appear in many papers simultaneously. We compare the MSC clustering results based on the several assessment measures and conclude that the Markov chain-based method is suitable for clustering the MSC codes.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.269-278
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• 2020

The purpose of this study is to explore the relationship between employee's psychological capital, organizational commitment and job performance in Vietnam. In this study, psychological capital and overall organizational commitment are considered as two second-order constructs. Psychological capital includes four different components: self-efficacy, optimism, hope and resiliency. Organizational commitment comprises three different components: affective commitment, continuance commitment and normative commitment. The study uses the combination of quantitative research method and qualitative research method. Qualitative research method (based on the experts' opinions) is used to design the official questionnaire, while relationship between concepts is estimated by quantitative research method, which is inclusive of the methods of descriptive statistics, Cronbach's Alpha, EFA, CFA and CB-SEM. The survey is conducted in two ways: face-to-face and via email. Data are collected from 848 employees across provinces and cities in Vietnam. The findings show that psychological capital and job performance have a positive relationship, organizational commitment has positive influence on job performance, and psychological capital is also related to organizational commitment. All relationship between psychological capital, organizational commitment and job performance of employee are statistically significant. In addition, organizational commitment also plays the mediating role in the positive relationship between psychological capital and employee's performance.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.13-26
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• 2016

Objectives : The aim of this study was to investigate whether there is a difference in the factors affecting the financial performance and profitability before and after the specialty hospital designation and thereby identifying the differentiated significance of the financial performance of specialty hospitals. Methods : Based on the year 2011, the analysis period was divided into the pre-specialty hospital designation (2007-2010) and post-specialty hospital designation (2011-2014), and the data were pooled according to the respective analysis period and analyzed by descriptive statistics and regression analysis. Results : The difference in the financial factors that affected the financial performance and profitability before and after the specialty hospital designation was discovered, and a financial performance factor different from prior studies was found. Conclusions : This study identified improved outcomes in financial performance due to the specialty hospital designation and the factors that affect profitability in terms of the finance of specialty hospitals.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.213-228
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• 2022

This paper investigates the association between key corporate governance characteristics and the performance of general insurance businesses listed on the Saudi stock exchange (TADAWUL). The methodology for the study is based on a pooled data collection for 11 Saudi general insurance companies from 2011 to 20. The linear regression model and the logarithm regression model are suggested to assess the relationship between performance and corporate governance characteristics. The dependent variable is firm performance measured using ROA, ROE, and Tobin's Q. The independent variables are corporate governance variables consisting of a complete set of board and audit committee characteristics. Insurer-specific control variables are introduced. The empirical results reveal that the characteristics of corporate governance influence the performance of insurance companies. In particular, the board size, board's tenure, the proportion of independent directors in the board, audit committee size, audit committee meeting frequency, and proportion of health insurance premiums have a positive impact. However, audit committee independence, size of the company, and proportion of reinsurance premiums have a negative impact on the performance of the Saudi general insurance companies. Finally, the empirical results indicated also that there is an unclear relationship between the performance and board meeting frequency, compensations of the Board, and the average age of the Board.

• Journal of Distribution Science
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• v.17 no.12
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• pp.95-103
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• 2019

Purpose : Promoting startups has increased in importance in labor market policies since the economic crisis. In Korea, the Ministry of SMEs and Startups is also seeking to revitalize youth startups and traditional markets by moving young stores into idle spaces in traditional markets through 'Project to Support the Activation of Youth Mall'. Research into startups in traditional markets is very limited. Therefore, this study looks at the differences between the management performance of young merchants and senior merchants, and looks at the impact of the business period. Research design, data and methodology : It was divided into youth startup and senior startup based on the age of 40 and startup and nonstartup. Based on these criteria, the company intends to compare and analyze sales and margin rates by setting the sales and margin rates with the management performance of the startup and senior startups. In particular, to look at the feasibility of government funded projects for young merchants, the company will look at the changes in sales and margin rates of young merchants and senior merchants over the period of operation. In this study, the analysis was based on the raw data of the Statistics of traditional market in 2017, and the ANCOVA was used. Results : First of all, the sales volume of stores operated by young merchants, was higher than those operated by senior merchants. Next, the margin ratio does not differ from that of stores that are for young people and those. These findings suggest that the profit structure of stores in traditional markets is similar between young merchants and senior merchants. Third, if you look at the performance of new startups based on one year of business period in more detail, it turns out that young startups have improved in sales and margin rates since startups, while senior startups have no difference. Conclusions : While it means that management performance can be improved through support for young startups, it suggests that there is a limit to supporting senior startups. Therefore, this research indicates that the government support projects centered on youth can contribute to the revitalization of traditional markets.