• Korean Journal of Oriental Medicine
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• v.15 no.1
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• pp.1-11
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• 2009

The eminent brother doctors Cho-Gaek Hur (Young Hur) and Cho-Sam Hur (Eon Hur) represent the medical tradition of the southeastern region of Mt. Jirisan incluiding Sancheong. This study investigated and examined their herediatary testimonies and medico-historical facts described in the literature tale, genealogy and family collection of works. At an early age after their family run away to the southern region from the harm of political struggle, they gave up taking the highest-level state examination to recruit ranking officials and set their heart on learning medicine. Their choice of medicine was the second best plan for the survival of their family and descendents from the influence of their ancestors who suffered from the party strife during the late Joseon Dynasty. The case is a good example of the deliberate action of the nobility intellectuals since the late Goryeo and early Joseon dynasties to who made attempts to have the minimum elegance and cause while securing livelihood after they have been collapsed politically. The tale of Cho-Gaek and Cho-Sam is a typical story of eminent doctors which combined reality and fiction about the persons who had outstanding medical skills. In the tale, the elder brother was good at herbal prescriptions and the younger brother was good at acupuncture, contrasting the treatment of administrative internal medicine and insertive acupuncture treatment. It shows that the prepositions for the choice of the treatment method for the public during that period were safety and fast efficacy. In their old age, they wrote a book titled Jinyangsinbang. Another Jinwoosinbang is estimated as a different kind of copy, which was a medical writing from experience that derived from the same original book as Jinyangsinbang. written by Cho-Gaek Hur and it is a valuable medical material that possesses the distinct features of the local medicine during the late Joseon Dynasty. Most of the contents are variations in application using the basis of Dongeuibogam, forming the roots of the traditional Korean medicine in Sancheong region together with the medical activities of the Hur brothers.

• Journal of Korean Home Economics Education Association
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• v.2 no.1
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• pp.45-90
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• 1990

This study aims finding a desirable practical skill evaluation practice evaluation method and then improving student’s learning effect by analyzing the present state and the methods of practical skill evaluation in middle-high schools home economics education. Investigated persons are 250 of high schools home economics thachers(125) and middle schools home economics teacher(125) in Seoul, who are choosen by means of random sampling. The items analysis of questionnaires was performed by means of SPSS(Statistical Package for Social Science). The investigator analyzed their responses to the questionnaires according to teachers’ages, school careers, majors, places of employment, school years in charge. The results are marked with percentage and the significance level is verified by means of Chi-square(X$\^$2/) analysis method, when necessary. This thesis handles practical skill evaluation of general practice units, of clothing and textile unit, and of nutrient and food unit. The results obtained from the items analysis are as follows; I. Results of the items analysis. A. Practical skill evaluation of general units. 1. The motivation and accomplishment feeling of students are most frequently considered as the aims of practical skill evaluation, but the results of practical skill evaluation are, by contraries, most infrequently considered as improvement materials. 2. A greatest number of teachers make together with their colleagues an annual plan for practical skill evaluation an inform students of the concrete information of the test, but perform respectively practical skill evaluation, using 5 steps method. 3. The percentage that teachers majoring in home economics education as compared with others lay the similar stresses on the preparation processes, attitudes, and results of students is very high.

• Journal of Korean Home Economics Education Association
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• v.2 no.1
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• pp.91-99
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• 1990

By the comparative analysis of middle school Home Economics curricula in the U.S, Sweden, japan, Taiwan, and Korea, this study attempts to understand the current Home Economics education and to access its trends for each country. Based on the findings of the analysis, this study also seeks to get the major implications of the analysis for the betterment of the Korean Home Economics Education. The main sources of information and data analyzed here are :1)curricula for 10 School Districts in Pennsylvania state as representives of the U.S ; 2)Home Economics curriculum for middle school in Sweden ; 3) Home Economics Teaching Guidelines in Japan ;4)Home Economics curriculum in Taiwan ; and 5) Home Economics curriculum in Korea. Content Analysis technique is applied in this study. The major elements of contents include :1)structure of the curriculum ;2)subject name ; 3)time allotment; 4)goals and objectives ; 5)subject areas and content composition ; 6) other related characteristics for the implemention of the curriculum Summarized results of the study outline as follows; 1)Home Economics is offered as independently required subject without sex discrimination in all five countries. 2)Time allotment for Home Economics in Sweden is double that in the other countries. 3)The common goals of Home Economics courses is practical learning experiences closely related to reality. 4) In terms of subjects areas, Food and Nutrition, Clothing & Textiles, Housing Human Development, and Child care are offered in three of four countries, which is also similar to those of Korea. In addition Consumer Education is also covered in the U.S., Sweden and Korea. 5)Curriculum can be utilized as instructional planning materials due to the clear specification of instructional method, materials, and evaluation method on the curriculum, especially in the U,S, and Taiwan.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.10
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• pp.516-523
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• 2000

In this paper, intelligent methods using digital protective relay in power supervisory control system is developed in order to protect power systems by means of timely fault detection and diagnosis during operation for induction motor which has various load environments and capacities in power systems. The spectrum pattern of input currents was used to monitor to state of induction motors, and by clustering the spectrum pattern of input currents, the newly occurrence of spectrums pattern caused by faults were detected. For diagnosis of the fault detected, the fuzzy fault tree was derived, and the fuzzy relation equation representing the relation between an induction motor fault and each fault type, was solved. The solution of the fuzzy relation equation shows the possibility of each fault's occurring. The results obtained are summarized as follows: 1) The test result on the basis of KEMC1120 and IEC60255, show that the operation time error of the digital motor protective relay is improved within ${\pm}5%$. 2) Using clustering algorithm by unsupervisory learning, an on-line fault detection method, not affected by the characteristics of loads and rates, was implemented, and the degree of dependency by experts during fault detection was reduced. 3) With the fuzzy fault tree, fault diagnosis process became systematic and expandable to the whole system, and the diagnosis for sub-systems can be made as an object-oriented module.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.306-319
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• 2010

Recently, crime prevention is away of important criminal justice policy and police activity also pursuit different change compare to the present times. After modern times, as get to know crime control change, eventually on the basis of experience that crime prevention is best way of crime control, what come out with new sight angle for the role of police is community policing. And emphasis points in police activity are variety of police activity, positive entry of community. In relation to this, we are learning crime prevention of the U.S.A and the program of community policing through crime prevention theory books that published in domestic. Then, there are misunderstanding possibilities that the programs which introduced relation books are doing someways all around the U.S.A In this research two cities san mateo county. california, of the U.S.A made a choice, and is going to search main crime present condition of these cities and really done community policing program or crime prevention program operation case.

• Journal of the Korean School Mathematics Society
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• v.14 no.4
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• pp.477-490
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• 2011

The concept of pedagogical content knowledge (PCK) has been developed and expanded to identify essential components of mathematical knowledge for teaching (MKT) by Ball and her colleagues (2008). This study proposes an alternative perspective to view MKT focusing on key developmental understandings (KDUs) that carry through an instructional sequence, that are foundational for learning other ideas. In this study we provide constructive components of KDUs in fraction multiplication by focusing on the constructs of 'three-level-of-units structure' and 'recursive partitioning operation'. Expecially, our participating preservice elementary teacher, Jane, demonstrated that recursive partitioning operations with her length model played a significant role as a KDU in fraction multiplication.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.81-88
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• 2018

Spectrum sensing, the key technology of the cognitive radio networks, is used by a secondary user to determine the frequency state of a primary user. The energy detection in the spectrum sensing determines the presence or absence of a primary user according to the intensity of the allocated channel signal. Since this technique simply uses the strength of the signal for spectrum sensing, it is difficult to detect the signal of a primary user in the low SNR band. In this paper, we propose a way to combine spectrum sensing and support vector machine using wavelet packet decomposition to overcome performance degradation in low SNR band. In our proposed scheme, the sensing signals were extracted by wavelet packet decomposition and then used as training data and test data for support vector machine. The simulation results of the proposed scheme are compared with the energy detection using the AUC of the ROC curve and the accuracy according to the SNR band. With simulation results, we demonstrate that the proposed scheme show better determining performance than one of energy detection in the low SNR band.

• Journal of Korean society of Dental Hygiene
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• v.15 no.5
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• pp.841-847
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• 2015

Objectives: The purpose of the study was to investigate the satisfaction with instruction medium according to learner attitude and lecture mode in the dental hygiene students. Methods: A web-based self-reported questionnaire was complected by 155 dental hygiene students in Cheonan from May 26 to June 5, 2015. The questionnaire consisted of general characteristics of the subjects, school adaptation, interest to learn, effort to learn, faculty centered lecture, learner centered lecture, self-directed learning, motivation to learn, characteristics of each subject, and satisfaction with lecture mode. The study was approved by institutional review board (IRB) by Baekseok University. Chi-square test and multivariate logistic regression were used to evaluate the satisfaction to medium of instruction according to explanation factors. Results: The lecture mode, opportunity and motivation to learn, interest to learn and effort to learn were the significant factors to satisfaction with instruction medium. In multivariate logistic regression model, the adjusted odds ratio was 6.28 for the opportunity to learn and 4.87 for the interesting to learn. Conclusions: The satisfaction with instruction medium is the most important factor that decides the lecture mode and learner attitude including opportunity to learn and concern to learn.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.671-681
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• 2019

Studies on predicting arrhythmia using machine learning have been actively conducted with increasing number of arrhythmia patients. Existing studies have predicted arrhythmia based on multivariate data of feature variables extracted from RR interval data at a specific time point. In this study, we consider that the pattern of the heart state changes with time can be important information for the arrhythmia prediction. Therefore, we investigate the usefulness of predicting the arrhythmia with multivariate time series data obtained by extracting and accumulating the multivariate vectors of the feature variables at various time points. When considering 1-nearest neighbor classification method and its ensemble for comparison, it is confirmed that the multivariate time series data based method can have better classification performance than the multivariate data based method if we select an appropriate time series distance function.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.10
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• pp.40-45
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• 2009

In this paper, we introduce a mobile-type tiny sensor device that can classify the activities of daily living based on the state-dependent motion analysis using a 3-axial accelerometer in real-time. The device consists of an accelerometer, GPS module, 32bit micro-controller for sensor data processing and activity classification, and a bluetooth module for wireless data communication. The size of device is 50*47*14(mm) and lasts about 10 hours in operation-mode and 160 hours in stand-by mode. Up to now, the device can recognize three user activities ("Upright", "Running", "Walking") based on the decision tree. This tree is constructed by the pre-learning process to activities of subjects. The accuracy rate of recognizing activities is over 90% for various subjects.