• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.528-537
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• 2021

Face recognition has gained significant notice because of its application in many businesses: security, healthcare, and marketing. In this paper, we will present the recognition method using the combination of correlation filters (CF) and Support Vector Machine (SVM). Firstly, we evaluate the performance and compared four different correlation filters: minimum average correlation energy (MACE), maximum average correlation height (MACH), unconstrained minimum average correlation energy (UMACE), and optimal-tradeoff (OT). Secondly, we propose the machine learning approach by using the OT correlation filter for features extraction and SVM for classification. The numerical results on National Cheng Kung University (NCKU) and Pointing'04 face database show that the proposed method OT-SVM gets higher accuracy in face recognition compared to other machine learning methods. Our approach doesn't require graphics card to train the image. As a result, it could run well on a low hardware system like an embedded system.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.4
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• pp.1-14
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• 2021

Purpose: This study aims to measure the level of satisfaction with the overall education of current students, who are major consumers of education by department at the Health Care Convergence University, and to establish development strategies such as improving education quality and satisfaction by deriving problems and improvements. Research design, data and methodology: This study drew conclusions through secondary data analysis based on data surveyed by the Educational Performance Management Center of a university in the academic year of 2020. The target of the education consumer satisfaction survey was 470 students of the College in the academic year 2020. Frequency analysis and correlation analysis were applied to the data using the statistical package program SPSS 25 version. Results: In the major curriculum satisfaction survey, the department with the highest score was optics and optics, 4.11, and the department with the lowest score was medical IT, 3.29. Conclusions: The department with the highest correlation in the correlation analysis result of the demand survey by department was the Department of Medical Management and the Department of Medical IT, with a correlation coefficient r=0.984, and the lowest correlation in the correlation analysis result of the demand survey by department was the Department of Medical IT and Dental Hygiene, with a correlation coefficient r= -0.085.

• Nuclear Engineering and Technology
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• v.44 no.8
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• pp.977-984
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• 2012

The cross-correlation technique has been widely used for leakage detection of buried pipes, and this technique can be successfully applied when the leakage signal has a high signal-to-noise ratio. In the case of a power plant, the measured leakage signals obtained from the sensors may contain background noise and mechanical noise generated by adjacent machinery. In such a case, the conventional method using the cross-correlation function may fail to estimate the leakage point. In order to enhance the leakage estimation capability of a buried pipe in a noisy environment, an improved cross-correlation technique is proposed. It uses a noise rejection technique in the frequency domain to effectively eliminate the tonal noise due to rotating machinery. Experiments were carried out to verify the validity of the proposed method. The results show that even in a tonal noisy environment, the proposed method can provide more reliable means for estimating the time delay of the leakage signals.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.2
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• pp.127-136
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• 1989

This paper describes the parameter convergence properties of an adaptive system to identify a single-input single-output plant model. It is demonstrated that, by using power spectrum analysis, the persistency of excitation (PE) condition in order to guarantee the exponential stability of the adaptive control system can be transformed into the positive definite behavior for the auto-correlation function matrix of adaptive signal. The existence of parameter nominal values can be analyzed by this condition and the convergence rates of parameter are determined by examining the auto-correlation function. We may use the sufficient richness (SR) of input spectrum instead of the PE condition to analyze the parameter boundedness. It can be shown that the eigen values of the auto-correlation function are always related with adaptive gain, input amplitude and positions or numbers of input spectra. In each case, the variation of parameter convergence rate can be also verified.

• Journal of the Optical Society of Korea
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• v.16 no.3
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• pp.210-214
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• 2012

We propose and experimentally demonstrate a method for extension of measurement range in a Brillouin optical correlation domain analysis sensor system without resolution deterioration. In the experiment, a 300 m measurement range with about 8 cm spatial resolution was successfully obtained by cascading three different kinds of fibers as a sensing element.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.134-136
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• 2003

This paper proposes an algorithm for fingerprint identification using phase only correlation. This algorithm uses the phase of fast Fourier transform and correlation function to calculate the similarity. The algorithm gives very clear result for identification because it shows only one conspicuous sharp peak for the same person's fingerprint. Further, it shows good results even for the finger print images which are printed not clearly and does not need to preprocess the images. It also shows good results for parallel displacement of fingerprint. The experiment result shows the effectiveness of the proposed algorithm.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.38-46
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• 2019

This study was conducted to identify disaster awareness, disaster preparedness, and ego-resilience in the college of nursing students', and to analyze correlation between study variables. The study subjects were 300 nursing students in four universities in two cities. Data were collected between April 1 and April 30, 2019 using by completing structured self report questionnaires. Data were analyzed using T-test, ANOVA, Pearson's correlation coefficient using SPSS/WIN 22.0. In correlation analysis, significant positive correlations were found between disaster awareness, disaster preparedness, and ego-resilience. Therefore, we propose to develop convergence education programs to imp rove disaster awareness, disaster preparedness, and ego-resilience in order to improve competency related to disaster management of nursing students.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.132-139
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• 2021

The purpose of this study is to investigate the effect of organizational safety and health management activities on safety and health performance by using the results of safety activity level evaluation of public organizations. To this end, a research model was established by using three fields as independent variables among the four areas of the safety activity level evaluation index: safety and health system, safety and health activity plan, and safety and health activity level, and the safety and health activity performance field as a dependent variable. Correlation analysis and regression analysis between major variables were performed. As a result of the correlation analysis, the safety and health activity performance had a significant positive (+) correlation with all of the safety and health system, safety and health activity plan, and safety and health activity level. The safety and health system had a significant positive (+) correlation with the safety and health activity plan and safety and health activity level, and the safety and health activity plan had a significant positive (+) correlation with the safety and health activity level. And as a result of the regression analysis, it was found that the organization's safety and health system, safety and health activity plan, and safety and health activity level all had a significant positive (+) effect on safety and health activity performance.

• Journal of Information Technology Services
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• v.9 no.2
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• pp.1-20
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• 2010

The IT convergence industry is expected to create some high added-value, yet the IT convergence service is still in its introductory stage, which requires the utilization of yet to be tried future technologies and development methodologies that have been never tried in the past; therefore, there is certain risk involved regarding the success of development during the introduction of service and the development of technology. From such perspective, this study found examples of the services in the IT convergence industries and the application technologies for the realization of those services; and conducted a research based on the examples, using the technical Characteristics classification; and based on the result, analyzed the standards and the peculiarity of technologies employed for the IT convergence service and the correlation and the complementarity between them; also identified the standards and the peculiarity of technologies required by the IT convergence services and analyzed the correlation between them; and finally analyzed the compatibility between the IT convergence services and the applied technologies. The conclusion of this study is expected to be utilized for selecting technologies for the introduction and the operation of the optimal IT convergence service and as a benchmark as well.

• Korean Journal of Community Nutrition
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• v.28 no.4
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• pp.317-328
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• 2023

Objectives: This study aimed to investigate the correlation between adolescents' dietary safety management competency, value recognition, efficacy, and competency of convergence using the dietary area (CUDA). Methods: Data were collected from 480 middle and high school students in Daegu, Gyeongbuk and Seoul, Gyeonggi using a self-administered five-point Likert scale questionnaire from May to July 2021. A questionnaire was used to investigate dietary safety management competency, awareness of convergence, recognition of the benefits, efficacy, and competency of CUDA. Results: We conducted factor, reliability, correlation, and regression analyses using SPSS 25. The average scores for each factor were: dietary significance (3.68); dietary safety management knowledge (3.34); food selection and cooking (3.72); nutrition management (3.38); weight management (3.28); risk dietary management (3.13); CUDA interest (2.98); convergence necessity (3.50); benefits in specialized areas (3.31); benefits in everyday life (3.48); efficacy of science and technology convergence (3.35); convergence efficacy with humanities, social science, and arts (3.31); and CUDA competency (3.41). The score for interest in CUDA was lower than that for the recognition of CUDA benefits. Significant positive correlations were observed between all factors except between risk dietary management and both nutrition and weight management (P < 0.01). Interest in CUDA and recognition of the need for convergence exhibited a positive and significant effect on all factors of the perception of CUDA benefits and efficacy. The subgroup factors of dietary safety management competency and the recognition of CUDA had a positive effect on the CUDA competency (P < 0.001, R²= 0.58). Conclusions: Strengthening dietary safety management competency and increasing the awareness of CUDA can enhance adolescents' convergence competency. Therefore, CUDA and targeted education must be actively promoted among adolescents.