• The Journal of Korean Institute of Communications and Information Sciences
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• v.10 no.1
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• pp.11-16
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• 1985

The performance analysis of serial search spread spectrum synchronization system is carried out. To evaluate the synchronization probabilities, two chi-square densities for signal plus noise and noise only are derived. Then Neyman-Pearson scheme is applied to determine the threshold of the synchronization system. The synchronization probability curves are shown as a function of threshold and signal to noise ratios.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.50
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• pp.281-291
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• 1999

This paper is a brief review of the different procedures that are available for fitting theoretical distributions to data. The use of each technique is illustrated by reference to a distribution system which including the Pearson, Johnson and Burr functions. These functions can be used to calculate percent out of specification. The main objectives of this study are to propose a new methods for estimating a measure of process capability for Beta distributed variable data by using the percentage nonconforming. The comprehensive information for the process can be used to evaluate more accurately process capability.

• Journal of Acupuncture Research
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• v.25 no.1
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• pp.187-197
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• 2008

Objectives : The purpose of this study was to assess the reproducibility of measurement of facial skin furrows using a facial skin photographing system. Methods : Subjects were 19 patients who visited the department of acupuncture and moxsibustion, at the hospital of Oriental medical college, at Daegu Haany University for the cosmetic acupuncture treatment during August 2007 to 31th August 2007. The facial skin photograph of each participant was analyzed a total of six times in two days using DM-3(a facial skin photographing system). The square and counts of skin furrows were also measured for each one. As the statistical method, Pearson's correlation coefficient and repeated measured ANOVA were used. Results : The Pearson's correlation coefficient, it showed significantly high correlation in both the square and count of skin furrows for each analysis time. Repeated measured ANOVA showed no significant differences among analyses in both square and count of skin furrows. Conclusions : This study reveales that the measurement of the count and square of facial skin furrows by facial skin photograph analysis has high reproducibility. DM-3(a facial skin photographing system) can be useful for the evaluation of facial skin furrows in facial cosmetic acupuncture.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• Journal of Digital Convergence
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• v.10 no.8
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• pp.257-264
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• 2012

This study was conducted to arrange the basic data for the ways to operate the effective nursing programs and reduce job stress by grasping the awareness, satisfaction and job stress of the nurses due to the introduction of EMR(EMR : Electronic Medical Record) system and clarifying the relationship among them. Methods: Of the hospitals which introduced EMR, the study was conducted for 356 nurses who used EMR in a university hospital in D city and the data was collected from June 1 to June 30. The collected data was analyzed with real number, percentage, T-test, ANOVA, and Pearson correlation coefficient. Results: The results of the study above, it could be certified that the higher the satisfaction and awareness of the users of EMR were, the more the job stress of them decreased. Therefore, the qualitative nursing should be provided to the patients by reducing job stress with the improvement of the awareness and satisfaction of the nurses of EMR, and shortening the time in keeping the records of patients, in order to enhance the satisfaction of EMR, there should be a proper management, such as a regular EMR education, and there must be the ways to reduce the job stress of the nurses and strengthen the satisfaction of EMR.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.12-18
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• 2021

This paper proposes a framework for the development of the health recommender system, designed to cater COVID-19 symptoms' self-assessment and monitoring as well as to provide recommendations for self-care and medical treatments. The aim is to provide an online platform for Patient Under Investigation (PUI) and close contacts with positive COVID-19 cases in Malaysia who are under home quarantine to perform daily self-assessment in order to monitor their own symptoms' development. To achieve this, three main phases of research methods have been conducted where interviews have been done to thirty former COVID-19 patients in order to investigate the symptoms and practices conducted by the Malaysia Ministry of Health (MOH) in assessing and monitoring COVID-19 patients who were under home quarantine. From the interviews, an algorithm using user-based collaborative filtering technique with Pearson correlation coefficient similarity measure is designed to cater the self-assessment and symptoms monitoring as well as providing recommendations for self-care treatments as well as medical interventions if the symptoms worsen during the 14-days quarantine. The proposed framework will involve the development of the health recommender system for COVID-19 self-assessment and treatments using the progressive web application method with cloud database and PHP codes.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.361-370
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• 2017

In this paper, correlation analysis was performed between questionnaire and machine learning based aggressive tendency measurements. this study is part of a aggressive driver detection using machine learning and questionnaire. To collect two types tendency from questionnaire and measurements system, we constructed experiments environments and acquired the data from 30 drivers. In experiment, the machine learning based aggressive tendency measurements system was designed using a driver behavior detection model. And the model was constructed using accelerate and brake position data and hidden markov model method through supervised learning. We performed a correlation analysis between two types tendency using Pearson method. The result was represented to high correlation. The results will be utilize for fusing questionnaire and machine learning. Furthermore, It is verified that the machine learning based aggressive tendency is unique to each driver. The aggressive tendency of driver will be utilized as measurements for advanced driver assistance system such as attention assist, driver identification and anti-theft system.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.7
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• pp.227-234
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• 2023

Measuring heart rate variability by deep breathing and using this to evaluate the autonomic nervous system is a well-known method widely used in various clinical fields. In hospitals, expensive equipment is installed and managed by experts for this purpose. This paper discusses an app we developed that can easily test the autonomic nervous system by deep breathing anytime, anywhere using a smartphone, and then reviews experiments performed to verify the results. The experiments were conducted in the clinical room of the Department of Neurology at Soonchunhyang University Cheonan Hospital on eight volunteers. We tested the autonomic nervous systems of the volunteers first with an electromyography device installed in the hospital and then with the app under identical conditions. We performed a correlation analysis on the results of these two methods using the Pearson method, and this yielded a very high correlation of 0.98.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.919-931
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• 2018

In this study, we developed textile proximity sensor using conductive textile to develop a Medication adherence management system. The textile proximity sensor utilizes the principle of the capacitor, and the ring type sensor used to reduce the fringe-effect. When take medicines, we made a custom PCB that converts the change of the data measured by the sensor into a digital value so that transmitted the PC. In order to compare the performance of the system, we evaluated the correlation between the data variation according to the quantity of pills in the electronic compact scale and the data in this system. As a result, Pearson's correlation coefficient was 0.956(p<0.01), confirmed a good correlation between the scale and our system. Therefore, we concluded that our system evaluated able to whether or not to take medication.

• Journal of Fashion Business
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• v.14 no.1
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• pp.1-10
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• 2010

The purposes of this study were to examine effects of individual's ethics on corporation ethics and corporation ethics management and perception for corporation ethics management innovation system, and to compare consumers' and entrepreneurs' perceptions toward innovation system for ethics management in fashion industry. The subject used for this study were 260 subjects (117 consumer and 143 entrepreneurs). For data analysis, descriptive statistics, Pearson's correlations, Cronbach's alpha, regression, and t-test were used. As the results, first, ethic values on idealism and machiavellism significantly influenced on the business ethics. Business ethics also affected on business ethics management. In addition, business ethics management influenced on perception for ethics management innovation system. Finally, there were significant differences between consumers and entrepeneurs on perceptions toward innovation system for ethics management. Based on these results, prevention marketing strategies of counterfeit goods would be provided.