• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.127-130
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• 1995

Fuzzy controllers have proven to be powerful in controlling dynamic processes where mathematical models are unknown or intractable and ill-defined. The way of improving the performance of a fuzzy controller is based on making up rules, constructing membership functions, selecting a defuzzification method and adjusting input-output scaling factors. But there are many difficulties in tuning those to optimize a fuzzy controller. So, in this paper, we propose the look-up table based self-orgenizing fuzzy controller (LSOFC) which optimizes look-up values resulting from the above fuzzy processes. We use the plus-minus tuning method(PMTM), scanning the value through the processes of addition and subtraction. Simulation results demonstrate that the performance of LSOFC is far better than that of a non-tuning fuzzy controller.

• Korean Institute of Interior Design Journal
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• no.37
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• pp.12-20
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• 2003

The purpose of this study is to propose a new design principles and to analyze the pattern of art and architecture applying fractal concepts. As this study is based on fractal geometry as a natural science, 1 intented to explain the concepts and provide some methods of generating fractal properties. Two major aspects are discussed. Frist, fractals are geometric shapes that are self-similar, in other words, they iterate a basic shape at ever increasing a decreasing dimensions. Self-similarity, irregularity, and scaling are fundamental characteristics of fractal geometry. Second, the fractal concepts of art and design can be analyzed and used as a critical tool. In both criticism and design, fractals provides a tool In fine, fractal geometry can be provided endless possibilities for artists and designers intended in expressing the more complex underlying rhythms and organic patterns of nature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3658-3679
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• 2022

Classification of persons wearing and not wearing face masks in images has emerged as a new computer vision problem during the COVID-19 pandemic. In order to address this problem and scale up the research in this domain, in this paper a hybrid technique by employing ResNet-101 and multi-layer perceptron (MLP) classifier has been proposed. The proposed technique is tested and validated on a self-created face masks classification dataset and a standard dataset. On self-created dataset, the proposed technique achieved a classification accuracy of 97.3%. To embrace the proposed technique, six other state-of-the-art CNN feature extractors with six other classical machine learning classifiers have been tested and compared with the proposed technique. The proposed technique achieved better classification accuracy and 1-6% higher precision, recall, and F1 score as compared to other tested deep feature extractors and machine learning classifiers.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.173-179
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• 2022

This study was conducted to provide basic data for the development of oral health education programs by examining oral health knowledge and oral health behaviors, and by identifying factors affecting oral health knowledge and scaling experience of Chinese domestic students. From March to May, a self-reported questionnaire was administered to 194 in the G area. The data were analyzed frequency analysis and independent t-test, multiple regression analysis, logistic regression analysis by using SPSS/WIN 26.0 program. The overall average of oral health knowledge was 13.83 out of 24, and knowledge of periodontal disease and scaling was the highest at 3.75, and knowledge of oral hygiene products was the lowest at 1.38. Oral health knowledge was significantly higher in those who had scaling experience for the past year, brushed teeth for more than 3 minutes at a time, used oral hygiene products, and had oral health education experience. As a result of multiple regression analysis, oral health education experience was the most important factor on oral health knowledge. As a result of logistic regression analysis, oral health knowledge was the most influential factor on scaling experience. It is necessary to expand education on the importance of oral care and actively introduce oral health management program for Chinese domestic students.

• Journal of Technologic Dentistry
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• v.34 no.1
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• pp.25-36
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• 2012

Purpose: The purpose of this study is to investigate the status of oral health behaviors and oral health status, and to analysis the association between health behavior and chronic disease and oral health status of male workers. Methods: The survey used structured self administered questionnaires from September to October in 2009 in Daegu and Gyeongsangbuk-do province, randomize thirty workplace which work more than 50 workers and carry out a survey targeting 30 to 50 age male laborers who work selected workplace. Total of 1,532 replies were analysed. Results: Age, education, monthly income, job was significantly associated with number of toothbrushing, scaling experience, number of missing teeth. Smoking, amount of smoking, frequency of drinking, number of tooth brushing, unmet need and subjective oral health condition, HBP and DM was significantly associated with the number of missing teeth. In logistic regression, age(above 40), monthly income and DM were significant factors on loss of teeth. Conclusion: In conclusion, it is important to provide education on the teeth-brushing and DM management to workers engaged in a small or medium sized workplace with many tooth loss and low educational status, and to recommend a regular scaling as well as to establish policy for creating conditions upon an oral health check-up and a tooth scaling and allow the maintenance of an oral health.

• The Journal of Korean Society for School & Community Health Education
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• v.7
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• pp.1-17
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• 2006

Background: School is a primary health education setting for adolescents and the continuous support should be provided to renew school health education curriculum correspondent to cultural changes in Korean society. Objectives: This study was conducted to identify the principals and teachers' health education needs for their students and to analyze their conceptual map for health education curriculum at school. Methods: The sample size of the preliminary study was 321 of the teachers in elementary, middle, and high school, and that of the main study was 355 middle school principals and teachers over the country. The self-administered mailing survey was conducted to collect the available health education topics in the preliminary study, to identify the factor structure of the health education topics and to analyze the conceptual properties on health education with exploratory factor analysis and multidimensional scaling analysis in SPSS 12.0. Results: A total of 21 health education topics were collected from the preliminary survey and 31 topics were, comprehensively, generated for the main survey. In exploratory factor analysis, seven factors were generated in 1.0 or greater Eigen value standard. The seven factors were 'life health promotion,' 'disease prevention and drug control,' 'bulling and aggression prevention,' 'injury and sexual harassment prevention,' human-efficacy and regulation,' 'health protection for adolescence,' and 'alcohol and tobacco control.' The educational need scores were the highest in 'human-efficacy and regulation' and 'injury and sexual harassment prevention.' The two-dimensional cooperates were generated for the 31 health education topics and the two dimensional properties which divided the conceptual space were 'health-safety' for one and 'public/environmental-individual/personal' for the other. That is, middle school principals and teachers primarily, understand the health education curriculum in the sense of 'health vs. safety' and 'public/environmental vs individual/personal.' Conclusions: Health education curriculum and textbook should be developed based on teachers' needs and conditions for health education in school fields. The field-based health education programs or textbook would make more possible problem-solving health education for youth in real school fields.

• Journal of Korean society of Dental Hygiene
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• v.15 no.4
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• pp.649-659
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• 2015

Objectives: The purpose of the study is to investigate the musculo-skeletal pain prevalence and severity in the dental hygienists based on PRECEDE model. Methods: A self-reported questionnaire was completed by 483 dental hygienists in Gwangju from September 13 to October 12, 2013. Data were analyzed by frequency analysis, chi-square test, t-test, and multiple logistic regression analysis using SPSS 18.0 program. Musculo-skeletal pain severity was classified from 1 to 5 by PRECEDE model. The questionnaire consisted of six questions of the general characteristics of the subjects, one question of musculo-skeletal pain prevalence, one question of body part musculo-skeletal pain prevalence, one question of subjective health status, three questions of activities of daily living, six questions of working environment, one question of musculoskeletal system diseases knowledge, two questions of social support, two questions of education experience and data use method, and five questions of necessity of health education. Results: The prevalence rate of musculo-skeletal pain within a year was 83.9% and 22.8% of the dental hygienists complained of severe pain. The odds ratio of moderate pain severity was 1.99(95% CI, 1.10-3.60) and the odds ratio of unhealthiness was 3.27 (95% CI, 1.35-7.94). The odds ratio of pain severity in those working for 4-6 years was 0.21(95% CI, 0.08-0.57). The odds ratio of pain severity in those practicing 6-10 scaling cases per day was 0.33(95% CI, 0.17-0.65). The odds ratio of pain severity in wrist turning and bending was 3.56(95% CI, 1.19-10.62). Conclusions: The muscolu-skeletal pain severity in the dental hygienists was closely associated with subjective health condition, work duration, the number of scaling practice activity, and a treatment posture. Regular physical checkup for the dental hygienists will improve the musculo-skeletal pain due to scaling practice.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.99-102
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• 2012

An image scaler is a IP used in a image processing block of display devices to adjust image size. Proposed image scaler adopts line memories instead of a conventional method using a frame memory. This method reduced hardware resources and enhanced data precision by using shift operations that number is multiplied by $2^m$ and divided again at final stage for scaling. Also image scaler increased efficiency of IP by using serial divider to calculate parameters by itself. Parameters used in image scaling is automatically produced by it. Suggested methods are designed by Verilog HDL and implemented with Xilinx Vertex-4 XC4LX80 and ASIC using TSMC 0.18um process.

• Journal of Power Electronics
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• v.13 no.4
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• pp.656-668
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• 2013

This paper presents a wavelet-fuzzy based controller for indirect field oriented control of three-phase induction motor drives. The discrete wavelet transform is used to decompose the error between the actual speed and the command speed of the induction motor drive into different frequency components. The transformed error coefficients along with the scaling gains are used for generating the control component of the motor. Self-tuning fuzzy logic is used for online tuning of the scaling gains of the controller. The proposed controller has the ability to meet the speed tracking requirements in the closed loop system. The complete indirect field oriented control scheme incorporating the proposed wavelet-fuzzy based controller is investigated theoretically and simulated under various dynamic operating conditions. The simulation results are compared with a conventional proportional integral controller and a fuzzy based controller. The speed control scheme incorporating the proposed controller is implemented in real time using a digital processor control board. Simulation and experimental results validate the effectiveness of the proposed controller.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.393-403
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• 1992

This Study intended to provide positioning strategies of brand Image for ladies' ready to wear by analysing the perceptual dimensions of working women. The subjects were devided into two groups according to the fashion involvement, and in each group, a positioning map was composed by use of multidimensional scaling. 251 subjects of this study were gathered into stratified sample groups from working women in Seoul, being subdivided according to their each occupation and age. The data were analysed by frequency, percentage, average, $x^{2}-test$, 1-test, Factor Analysis, cronbach's $\alpha$. Also, KYST, PROFIT, PREFMAP for multidimensional scaling were used. The results were as follows. 1. Two groups were identified according to degree of fashion involvement: high-involvement group, and low-involvement group. 2. From the analysis of the similarity of brand image, high involvement group percieved greater difference in brand image than low involvement group. 3. From the analysis of the evaluation of brand attributes, the evaluations in self expression, fashionability, design, sales promotion activity, sociality, quality, fit showed differences bet-ween high involvement group and low involvement group. 4. From the analysis of the preference of brand image, the distribution of preference and ideal point were different between high involvement group and low involvement group.