• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.131-143
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• 2008

The purpose of this study was to develop the empowerment scale instrument and to investigate the perception and needs regarding to the empowerment as home economics(HE) teacher. Respondents in this study were 234 HE teachers. questionnaires were collected by e-mail in the integrating online computer system. SPSS(Statistical Package for the Social Science) 10.0 package and AMOS 6.0 were used to analyze the data. Factor analysis and reliability analysis were used to develop the empowerment scale instrument. Means and Borich requirement analysis were used to describe the perception and needs regarding to the empowerment as HE teacher. The outcome and conclusion of this study after going through the above process were as follows. When classifying the empowerment in 6 factors of class operation capability, influence, specialization, ethics, belief and self-regulation, the HE teachers recognized the ethics and self-regulation as high in the current empowerment, and had high demand on influence and class operation capability in the future empowerment. In other words, influence was to heighten the status and influence in HE education by participating in various local community activities, and the class operation capability was the capability to manage the class for bring out the interests of students, that these requirements could be considered as the expression of desire to recover the price for HE teachers as the professionals before students without the negative social recognition on the HE education. In the same context, most of the HE teachers recognized the execution of the education process as the situational practitioners, and for practicing better HE education at the actual classroom situation.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.461-468
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• 2019

The aim of this study was to compare and analyse the national players between the winning games and the losing ones by classifying the GPS data measured in the competition. 27 players of Korean national team on field hockey had analysed to collect plenty of data by using GPS system in real time on 16 A-matches for this paper. The result was followed: First, it has revealed that the winning games showed that it had played a lot in the rest of the zone except for zone 1 and zone 5 from zone 1 to zone 6. Second, is has also shown that it had a significant differences into the distance between the winning games and the losing ones. Third, there were no significant differences between Low-speed zone (zone 1 to Zone 3) and High-speed zone (zone 4 to zone 6) into the distance but were a significant differences on the number of high-accelerations in a section of accelerations. Last, in the position-specific, it has shown a significant differences between a distance by the section and the acceleration frequency and the results showed that the difference between the low accelerations and high ones influenced positively related to the performance.

• The Journal of Traditional Korean Medicine
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• v.15 no.1
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• pp.128-144
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• 2006

This Study aims at looking into the use of oriental medical services in treating hypertension. The first objective to be explored through this study is the morbidity caused by the disease, classifying them by age, gender, and occupation. The second is to determine the regular use of anti-hypertensive medicine and their efficacy in controlling blood-pressure. The third is to investigate the use-rate and satisfaction of oriental medical service. 838 households across the country, were asked to answer questionnaires for the period of time from Apr. to Jun. 2005. The conclusion from the survey can be summarized as following. The age of which the first medical diagnosis of hypertension were made showed lower in males, those with higher education and income. The study showed females were more active in blood-pressure control, with their frequent monitoring of blood-pressure for the past year. With age, people in under 50 age group proved to be less active. The management of high blood pressure was more effective in group with regular dosage compared to group with irregular use of anti-hypertensive medication, but their difference was minimal. Also, group with no medication showed signs of blood-pressure control. The use of oriental medical service for the past year, were more frequent in groups with lower education, either low or high income, old age, females and occupations in agriculture, forestry and fishing industry. Results were similar in both general population and high blood-pressure patient group. Females, people over 51 years old and with lower education showed more intentions in utilizing oriental medical services in the future. Results were similar in both general population and high blood-pressure patient group. It is necessary to offer a more accurate information on oriental medical treatments. Also, a systematic reform to reduce the patient's share of the treatment cost, as well as, heightening public awareness on the infirmity of present blood-pressure management system is crucial.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.57-65
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• 2021

We propose a novel method to detect abnormal data of specific symptoms using deep learning in air pollution measurement system. Existing methods generally detect abnomal data by classifying data showing unusual patterns different from the existing time series data. However, these approaches have limitations in detecting specific symptoms. In this paper, we use DeepLab V3+ model mainly used for foreground segmentation of images, whose structure has been changed to handle one-dimensional data. Instead of images, the model receives time-series data from multiple sensors and can detect data showing specific symptoms. In addition, we improve model's performance by reducing the complexity of noisy form time series data by using 'piecewise aggregation approximation'. Through the experimental results, it can be confirmed that anomaly data detection can be performed successfully.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.359-366
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• 2021

A number of construction companies in Korea invest considerable human and financial resources to construct a system for managing apartment defect data and for categorizing repair tasks. Thus, this study proposes machine learning models to automatically classify defect complaint text-data into one of the sub categories of 'finishing work' (i.e., one of the defect repair tasks). In the proposed models, we employed two word representation methods (Bag-of-words, Term Frequency-Inverse Document Frequency (TF-IDF)) and two machine learning classifiers (Support Vector Machine, Random Forest). In particular, we conducted both binary- and multi- classification tasks to classify 9 sub categories of finishing work: home appliance installation work, paperwork, painting work, plastering work, interior masonry work, plaster finishing work, indoor furniture installation work, kitchen facility installation work, and tiling work. The machine learning classifiers using the TF-IDF representation method and Random Forest classification achieved more than 90% accuracy, precision, recall, and F1 score. We shed light on the possibility of constructing automated defect classification systems based on the proposed machine learning models.

• Ocean and Polar Research
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• v.43 no.4
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• pp.229-243
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• 2021

Quality control (QC) to process observed time series has become more critical as the types and amount of observed data have increased along with the development of ocean observing sensors and communication technology. International ocean observing institutions have developed and operated automatic QC procedures for these observed time series. In this study, the performance of automated QC procedures proposed by U.S. IOOS (Integrated Ocean Observing System), NDBC (National Data Buy Center), and OOI (Ocean Observatory Initiative) were evaluated for observed time-series particularly from the Yellow and East China Seas by taking advantage of a confusion matrix. We focused on detecting additive outliers (AO) and temporary change outliers (TCO) based on ocean temperature observation from the Ieodo Ocean Research Station (I-ORS) in 2013. Our results present that the IOOS variability check procedure tends to classify normal data as AO or TCO. The NDBC variability check tracks outliers well but also tends to classify a lot of normal data as abnormal, particularly in the case of rapidly fluctuating time-series. The OOI procedure seems to detect the AO and TCO most effectively and the rate of classifying normal data as abnormal is also the lowest among the international checks. However, all three checks need additional scrutiny because they often fail to classify outliers when intermittent observations are performed or as a result of systematic errors, as well as tending to classify normal data as outliers in the case where there is abrupt change in the observed data due to a sensor being located within a sharp boundary between two water masses, which is a common feature in shallow water observations. Therefore, this study underlines the necessity of developing a new QC algorithm for time-series occurring in a shallow sea.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.311-316
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• 2021

The college's beauty department, which has a globalized education system that breaks away from the uniform beauty concept, can dominate in the fierce competition with other schools, and the development and vitalization of the department is guaranteed. In addition, research on the department name is very necessary to establish internal and external PR strategies for affiliated departments and departments and to analyze the direction of realistic beauty education. Accordingly, as a result of analyzing the trends of the department and department name by classifying the universities in Yeonghonam into four regions, the departments belonging to each region of the beauty department showed the most belonging to the natural science and arts and sports departments. In addition, the names of beauty departments by region are Busan and Gyeongnam, Daegu and Gyeongbuk, Gwangju and Jeonnam, and Jeonbuk with 5 beauty departments (29.41%), 3 beauty design schools (13.04%), and 8 beauty and beauty departments. (50.00%), beauty design departments, 2 schools (33.33%). This study makes it possible to cultivate professional beauticians who cultivate an artistic and creative sense that meets the educational goals of beauty education, and it is expected that it will be provided as a very necessary basic data for the division of departments or change of department name according to detailed majors.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.91-104
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• 2021

This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.179-186
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• 2021

In this study, we attempted to comparatively analyze the structural characteristics of soot generated from marine engines to review the possibility of recycling crankcase soot by classifying it as exhaust soot and crankcase soot. The annealing procedure was performed in an argon gas atmosphere at 2,000℃ and 2,700℃, and Raman spectroscopy and High-Resolution Transmission Electron Microscopy(HRTEM) were used to analyze the structural properties of the samples. Furthermore, digital image processing techniques were utilized to quantitatively analyze the acquired HRTEM images. The Raman analysis demonstrated a relatively high G/D ratio in the exhaust soot and annealing conditions at 2,700℃. In the HRTEM images, both soot were able to identify similar forms of graphite nanostructures, but there were limitations in that they could not quantitatively derive differences in the degree of graphite depending on the type of soot and annealing temperature. Thus, digital image processing quantitatively analyzed the length and tortuosity of the fringe of the HRTEM image, which is consistent with the Raman analysis. This meant that the exhaust soot had a more graphite structure than the crankcase soot, and that annealing at a higher temperature improved the graphite structure. This study confirmed that both the crankcase soot and exhaust soot can be recycled as a graphite materials.

• Korean Journal of Heritage: History & Science
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• v.55 no.1
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• pp.5-34
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• 2022

The purpose of this study is to investigate the unique contrasting landscape characteristics of imperial tombs of Qing dynasty by examining the characteristics of facility layout in which location, Feng shui, and siblings are harmonized with the 12 Qing Dynasty Hwanggyeongchim. Through literature surveys, field observation and interviews, videos and drawing comparison, and inductive contrast analysis, the contrasting landscape characteristics of imperial tombs in the Qing Dynasty were analyzed by classifying them into natural environment, location, Feng shui, and formal esthetics. As a result, the characteristics of the location type and the layout plan of the Qing dynasty imperial tombs were derived from the analysis of Feng shui shape, axis extension distance along the midaxial line, the width of the ridge, the formality of the facility layout according to the difference between the height of the starting point and the end point, the leftward direction of the tomb, and the space ratio of the 'entry space' - 'ritual space' - 'burial mound space', etc. In addition, it was possible to derive the facility arrangement characteristics of tombstones through the analysis of the types and the arrangement order of tombs facilities, as well as the distribution, quantity and types of stone figures, while also revealing some contrasting characteristics different from those of the Ming Dynasty. In addition, it was confirmed that the spatial division effect through the water system and the view effect of the view from the midaxial line and the vista are the representative view effect found in the Qing Dynasty imperial tombs along with the density contrast.