• Journal of the Korean Society of Earth Science Education
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• v.7 no.2
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• pp.276-285
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• 2014

The purpose of this study is to investigate the pattern and characteristics of elementary school teaching and learning processes in science based classes. The study participants' class was recorded in video and instructional conversation transcription. The pattern of the observed class was analyzed using the classification frame suggested by Mogan &Saxton(2006). In result, the questioning for elicit information was most frequent and questioning for shape understanding and the questioning for press for reflection in its priority. In result, the presence of elicited questioning for the attainment of knowledge and understanding is more prominent in science-based classrooms. It was revealed that the participating teachers used the questioning sentence pattern more frequently and the self-sustained inquiry that accelerates creative thinking of the student was lacking. It was discovered that teaching elicited questioning, which accelerates creative thinking, as well as fact confirmation pattern is a necessary element of training for teachers.

• Journal of Nutrition and Health
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• v.35 no.6
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• pp.658-667
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• 2002

This study was conducted to investigate frequently consumed menu patterns by the area and season, using the 24-hour recall method. Subjects were 1,041 living in five different Korean rural areas for the spring, autumn and winter. The purpose of this study is to suggest the menu pattern in rural areas for the basic data of the nutrition education program and nutrition intervention project by the area and season. The result are following : Most frequently used basic menu patterns, excluding side dishes, were rice＋soup in Yeoju, Hoensung and Jungup, rice＋stew in Ulsan, and only rice in Chungju. The most frequent menu pattern by the number of side dish was rice＋soup＋kimchi＋1 side dish in Yeoju and Ulsan were rice＋stew＋kimchi in Hoengsung, and was rice＋soup＋2 side dish in Chungju and Frequently used menu patterns by the kind of side dish weer rice＋soup＋kimchi＞rice＋stew＋kimch＞rice＋kimchi＞noodle＋kimchi in the order The most frequent menu pattern was rice＋soup＋kimchi in spring and autumn, and was rice＋stew＋kimchi in winter. The mean adequacy ratio(MAR) in spring and autumn was higher than that in winter. MAR in Ulsan is higher than that of other areas. With these results, we can conclude that there are difference in menu pattern by the season and area. For the nutrition program in the community, menu patterns should be carefully examined by the season and area. The results from this study can be used as basic data for nutrition education program in Korean rural areas.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.3
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• pp.359-370
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• 2011

This study analyzes the textiles design of natural indigo dyed products in Korea and Japan. In this study, a total of 556 Korean natural indigo dyed products, and 2,730 Japanese natural indigo dyed products were used for analysis. The subjects of this study were 556 natural indigo dyed products and 2,730 Japanese natural indigo dyed products selling natural indigo dyed products which were found using search engine keywords of natural indigo dyeing and natural dyeing. Research and analysis was treated regarding the products, items, patterns, and the representation techniques of the patterns. The results of this study are as follows. In the pattern used for natural indigo dyed products, 71.4% of Korean products have no pattern, but 77.1% of Japanese products have patterns. On the representation techniques of the patterns, Korean products used tie-dyeing and a dip patterned fabric. While in the Japanese products, the most frequent patterning techniques were paraffin dye, followed by tie-dyeing, yarn-dyed and weaving, screen printing, and yarn-dyed and knitting. Regarding the kinds of patterns for natural indigo dyed products, only 8 kinds of patterns were used in Korean products; however, over 50 kinds of various patterns were used in Japanese products. Most patterns in the Korean products were ion patterns made by tie-dyeing. While in the Japanese products, the most frequent patterns were stripe patterns, followed by flower, dot, and ion patterns. Based on these research results, the problems of the textile design of Korean natural indigo dyed products were that most of the products have no pattern, and even though there were patterns, they lacked variations between the products. While in the case of Japan, they used the traditional and modem patterns of various textile representation techniques.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.231-242
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• 2007

The existing pattern mining methods[1,2,3,4,5,6,11,12,13] do not use location generalization method on the set of location history data of moving object, but even so they simply do extract only frequent patterns which have no spatio-temporal constraint in moving patterns on specific space. Therefore, it is difficult for those methods to apply to frequent pattern mining which has spatio-temporal constraint such as optimal moving or scheduling paths among the specific points. And also, those methods are required more large memory space due to using pattern tree on memory for reducing repeated scan database. Therefore, more effective pattern mining technique is required for solving these problems. In this paper, in order to develop more effective pattern mining technique, we propose new location generalization method that converts data of detailed level into meaningful spatial information for reducing the processing time for pattern mining of a massive history data set of moving object and space saving. The proposed method can lead the efficient spatial moving pattern mining of moving object using by creating moving sequences through generalizing the location attributes of moving object into 2D spatial area based on $R^*$-Tree and Area Grid Hash Table(AGHT) in preprocessing stage of pattern mining.

• Journal of Fashion Business
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• v.14 no.1
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• pp.143-162
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• 2010

The purpose of this study is to suggest more specific method to express art connected to the factor of fashion design by classifying fashion case combined with contemporary art, which is expressed through visual factor of fashion, analyzing exchange phenomenon, trend and change aspect of art and fashion and researching its expression type under the background of art preference phenomenon of contemporary art. From the result of measuring the frequency of contemporary art type, it was found that various types and artists' works were applied to fashion industry. Therefore, the scope of contemporary art, which is used for fashion, is being enlarged and new type is appearing every year continuously. Especially, its frequency was highest in 2008 S/S. In addition, it was found that it was more frequent in S/S season rather than in F/W season. From the result of analyzing expression method of contemporary art inspiration shown in fashion by classifying it into structure aspect, print aspect and 3D decoration aspect, in most cases, the contemporary art was used as a print or pattern for dress or accessory. The print aspect could be divided into geometric abstraction pattern, expressional abstract pattern, trompe-l'oeil pattern, graffiti pattern, picture image pattern and cartoon pattern in detail.

• Proceedings of the KSRS Conference
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• v.2
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• pp.868-871
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• 2006

Mortality of domestic people from cardiovascular disease ranked second, which followed that of from cancer last year. Therefore, it is very important and urgent to enhance the reliability of medical examination and treatment for cardiovascular disease. Heart Rate Variability (HRV) is the most commonly used noninvasive methods to evaluate autonomic regulation of heart rate and conditions of a human heart. In this paper, our aim is to extract a quantitative measure for HRV to enhance the reliability of medical examination for cardiovascular disease, and then develop a prediction method for extracting multi-parametric features by analyzing HRV from ECG. In this study, we propose a hybrid Bayesian classifier called FP-based Bayesian. The proposed classifier use frequent patterns for building Bayesian model. Since the volume of patterns produced can be large, we offer a rule cohesion measure that allows a strong push of pruning patterns in the pattern-generating process. We conduct an experiment for the FP-based Bayesian classifier, which utilizes multiple rules and pruning, and biased confidence (or cohesion measure) and dataset consisting of 670 participants distributed into two groups, namely normal and patients with coronary artery disease.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.19-25
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• 2020

In frequent pattern mining, the uncertainty of each item is accompanied by a loss of information. AAlso, in real environment, the importance of patterns changes with time, so fuzzy logic must be applied to meet these requirements and the dynamic characteristics of the importance of patterns should be considered. In this paper, we propose a fuzzy utility mining technique for extracting frequent web page sets from web log databases through fuzzy utility-based web page set mining. Here, the downward closure characteristic of the fuzzy set is applied to remove a large space by the minimum fuzzy utility threshold (MFUT)and the user-defined percentile(UDP). Extensive performance analyses show that our algorithm is very efficient and scalable for Fuzzy Utility Mining using dynamic weights.

• The Journal of Korean Obstetrics and Gynecology
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• v.32 no.1
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• pp.48-72
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• 2019

Objectives: This study was conducted to comprehend the syndrome differentiations of dysmenorrhea and find out their clinical symptoms, tongue images and pulse patterns by analyzing previous studies. Methods: The following researches were collected by searching the medical journals published from November, 2007 to October, 2017, from KISS, OASIS, CNKI. : researches on the syndrome differentiation of dysmenorrhea, researches on the criteria of diagnosis of syndrome differentiation of dysmenorrhea, randomized controlled trials (RCT) used syndrome differentiation for treating dysmenorrhea. Results: By investigating the frequency of syndrome differentiations used in RCT studies, the frequent ones were chosen. They were qi stagnation and blood stasis (氣滯血瘀), qi-blood deficiency (氣血虛弱), congealing cold with blood stasis (寒凝血瘀), liver-kidney depletion (肝腎虧損), blood stasis with dampness-heat (濕熱瘀阻). Conclusion: 4 syndrome differentiations were frequently used in RCT studies. And the frequency of clinical symptoms on each syndrome differentiations from each RCT study was analyzed and compared. Clinical symptoms chosen as chief symptoms in more than one reference, appeared in more than half of the references, most frequent tongue images and pulse conditions were organized. The most frequent clinical symptoms included the period and pattern of pain, the accompanying symptoms of whole-body and the pattern of menstrual bleeding.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.35-46
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• 2022

Recently, with the development of network technologies, as IoT and social network service applications have been actively used, a lot of graph stream data is being generated. In this paper, we propose a graph compression scheme that considers the stream graph environment by applying graph mining to the existing compression technique, which has been focused on compression rate and runtime. In this paper, we proposed Incremental frequent pattern based compression technique for graph streams. Since the proposed scheme keeps only the latest reference patterns, it increases the storage utilization and improves the query processing time. In order to show the superiority of the proposed scheme, various performance evaluations are performed in terms of compression rate and processing time compared to the existing method. The proposed scheme is faster than existing similar scheme when the number of duplicated data is large.

• Korean Journal of Clinical Laboratory Science
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• v.39 no.3
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• pp.264-270
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• 2007

Obstructive sleep apnea syndrome (OSAS) is defined by sleep apnea with decreased oxygen saturation, excessive snoring with daytime sleepiness, and frequent awakening during the night time sleep. The present study was performed to investigate how apnea-hypopnea, that possibly causes breathing disturbance during sleep, can affect sleep pattern in patients with OSAS. We included 115 patients (92 men, 23 women) who underwent a polysomnography from January 2006 to May 2007. As the frequency of sleep apnea-hypopnea increases, the proportion of non-rapid eye movement (REM) sleep (p<0.001), and stage I sleep (p<0.001) increased, while that of stage II sleep (p<0.001), stage III and IV sleep (p<0.01), and REM sleep (p<0.05) decreased. Furthermore, sleep apnea-hypopnea was closely correlated with REM sleep (r=0.314, p<0.001), stage I sleep (r=0.719, p<0.001), stage II sleep (p=-0.342, p<0.05), stage III and IV sleep (r=-0.414, p<0.001), and REM sleep (r=-0.342, p<0.05). Stage I sleep could account for the 51% of the variance of apnea-hyponea. Our study shows sleep apnea-hypopnea affects sleep pattern in pattern with OSAS significantly, and the change of stage I sleep is the most important factor in estimating the disturbance of sleep pattern.