• Fire Science and Engineering
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• v.20 no.1 s.61
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• pp.55-70
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• 2006

The purpose of this study is to analyze an adequate deployment of fire service force to be prepared to respond appropriately and effectively in Korea by settlement pattern. In order to examine the deployment of fire service force by the present standard, we analyzed the logical basis and the deployment of fire service force by city and province. We also classified clusters for settlement pattern through the statistical methods and raised several points for the existing deployment model of fire service force by the classified settlement pattern. As a result, it was confirmed that the deployment of fire service force by the settlement pattern was irrelevant to fire service need.

• Fashion & Textile Research Journal
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• v.1 no.1
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• pp.62-68
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• 1999

The study has examined about the origin and change of traditional Japanese dress "Kosode" and classified it according to its ages and also classified its patterns which appeared on the Kosode by its kinds, and divide the patterns with constituent method and expressional method and so, studied and analyzed them with type of patterns according to the change of the times. The result of research were as follows: 1. Subject of patterns that appeared on the Kosode was used with mainly plant pattern, animals pattern, pictorial pattern, artificial pattern, and abstract patterns. 2. Expressional method of this patterns was mostly expressed simply with tie dyeing in ancient times, but it changed complex its expressional method and diversely due to the development of common's culture as time goes on. 3. For the arrangement of its pattern were arranged regularly mostly make demarcate and though they are as if seemed dispersed, but a characteristic that can find regulations in it. 4. Transition of patterns that appeared on the Kosode it developed at the beginning of ancient syouboon, Katasuso pattern and Katamigaori patterns at the samurai's society in the medieval society and developed to Koicho kosode and Kambun kosode in modern times.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1985.10a
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• pp.109-112
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• 1985

This paper proposes a algorithm of phonemes extraction in korean character pattern recognition. The phonemes are classified into the patterns which are separable and connected with each other. The former is extracted by means of pattern matching in consideration of topological structure of ponemes and direction of stroke sequentially. The latter is extracted by means of index and window algorithm which are performed by a 3$\times$3 sequential local operation in the thinned character pattern.

• Journal of Obesity & Metabolic Syndrome
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• v.27 no.4
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• pp.254-261
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• 2018

Background: The most beneficial dietary pattern in managing metabolic syndrome (MetS) in the elderly has not been ascertained. The aim of this study is to classify dietary patterns and to examine associations between dietary pattern, MetS and body composition in elderly Koreans. Methods: This study was conducted among Koreans 65 years or older using data from the Korea National Health and Nutrition Examination Survey in 2009. A total of 1,567 study subjects were included. All statistical analyses were conducted using SPSS version 20.0 and dietary patterns were classified by cluster analysis. Results: There were three dietary patterns derived by cluster analysis in this study. We observed that most South Korean elderly still maintain a traditional dietary pattern. Dietary patterns were classified as balanced (31%), imbalanced (40%), or very imbalanced (30%), with the majority of subjects having an unbalanced diet pattern in which their total energy and nutrient intake was insufficient compared with the Dietary Reference Intake for Koreans. Those in the very imbalanced group had a ratio of macronutrients (carbohydrates:fats:protein) of 81.15:7.18:11.50 and a 54% higher likelihood of having hypertriglyceridemia (P=0.025) compared with those in the balanced group. Conclusion: The current findings indicate that the diets of South Korean elderly are nutritionally imbalanced, including high carbohydrate consumption, which confers a high risk hypertriglyceridemia. These findings highlight the effect of nutritional imbalance in elderly with MetS.

• Journal of the Korean Society of Costume
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• v.60 no.1
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• pp.101-116
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• 2010

In this study, the subjects are the expression methods and compositions of peony patterns in Chinese textiles. This study represents the peony patterns which are from Tang Dynasty to the Qing Dynasty, the research subjects are the peony patterns in fabric, except the peony patterns which are expressed by gold foil, embroidery and kesi. The objects of this study are 72 pieces of peony patterns. We sketched the configuration details of peony patterns through the Illustrator program. Analyze and classify the configuration accurately. Based on the 72 pieces of peony patterns, expression methods and compositions of the peony pattern are as following, firstly, we classified peony patterns into three categories, based on expression methods, as realistic shape, pattern shape and shape. Among these 72 fabric relics, there most of realistic shape 42 pieces(58.3%), pattern shape 25 pieces(34.7%), and shape 5 pieces(7.0%). Secondly, in the realistic shape peony, the most of pattern has petal accumulate as grape- shaped. This type is found in almost every Dynasty and was used regularly in the eras of Song and Ming Dynasty. In the era of Ming Dynasty, by using petals like the curly mushroom, Yeongji(靈芝), the pattern of symbolizing longevity was habitually used. The U-shaped flower pattern (type E) and the pattern of emphasizing the veins of petals are found only in the remains of the era of Qing Dynasty. Thirdly, in the pattern shaped peony, the most of pattern has some petals which are separated(type C). Fourthly, we classified peony patterns into four categories, based on compositions, as individual branch form, floral branch form, cluster branch form and floral nest form. Among these 72 fabric relics, there most of individual branch form 33 pieces(45.8%), floral branch form 18 pieces(25.0%), cluster branch form 13 pieces(18.1%), floral nest form 8 pieces(11.1%).

• Imaging Science in Dentistry
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• v.32 no.2
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• pp.81-87
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• 2002

Purpose : To investigate the diagnostic significance of cortical changes in the bone of diseased jaws utilizing computed tomography (CT). Materials and Methods: Computed tomographic images of 91 patients, consisting of 7 osteomyelitis, 46 cysts, 18 benign tumors, and 20 malignant tumors, were analyzed. The pattern of cortical expansion was classified into three types: no expansion (N), buccal or lingual expansion (B/L), and buccolingual expansion (B & L). The pattern of cortical destruction was classified into four types: no destruction (N), point destruction (PO), gross destruction (GR), and permeative destruction (PE). The pattern of periosteal reaction was classified into four types: parallel, irregular, spicule, and Codmans triangle. The relationship between the pattern of cortical bone changes and diseases of the jaws was assessed. Results: When the pattern of cortical expansion was compared to diseases of the jaw, N-type was most prevalent in cases of osteomyelitis and malignant tumors, B/L-type with cysts, and B&L-types with benign tumors. Comparison between the pattern of cortical bone destruction with diseases of the jaw showed strong correlations between PO and PE-types to osteomyelitis, N-type with cysts, N and GR-types with benign tumors, and GR-type with malignant tumors. Finally, the relationship between the pattern of periosteal reaction to diseases of the jaw showed a strong correlation between parallel-type to osteomyelitis and spicule-type to malignant tumors. Conclusion : The pattern of cortical expansion and cortical destruction is useful in differentiating diseases of the jaws.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.7
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• pp.63-72
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• 2019

The purpose of this study is to apply the types of urban street pattern and the shape of streets to the master plan of a religious community complexes. The street pattern is a framework of urban structure and to understand the urban structure is helpful to understand the nature of urban streets. By analysing the precedent researches, the types of street patterns are classified as a serial pattern, a branching pattern, a grid pattern and a web pattern. The street patterns are hierarchically composed and classified as a differential development and sequential development. There are boundaries and gates where the street space is differentiated to the more private level. The urban streets continue to the architectural streets such as arcades, deck streets, corridors, lobbies and halls. The purposes and results of the master plan of this religious community complexes are as follows. 1) The school area, housing area and service area are properly separated and connected. They are separated by the building masses and connected by the street space in between. 2) The street pattern of this complexes is a serial pattern where the streets are the center of each functional building groups. The entry square is divided by the symbolic building. The one branch is school street and the other is living street. These streets are combined again to the festival street. 3) The architectural streets are organically related to the urban streets. 4) Each street spaces are of adequate form according to its properties as a place. 5) There are boundaries or gates such as a gab between buildings, posts, arches and deck streets according to the relationship between streets.

• Korean Institute of Interior Design Journal
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• v.25 no.3
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• pp.31-39
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• 2016

This study is aimed to increase the possibility of using the Christopher Alexander's pattern language. The methodology of this study is (i) to analyze the pattern language by using the network analysis tool in order to understand the complicate network structure of the pattern language, and (ii) to apply the Alexander's method of using the pattern language by using the network analysis tool (Gephi) and to examine the feasibility of the network analysis tool as a tool for using the pattern language. Firstly, as a result of analysing the pattern language, (i) the pattern language classified by pattern number is distinguished by the patterns of towns, buildings and construction, among which the pattern of buildings plays a key function in the networks; (ii) the buildings functions a medium connecting between the towns and the construction; and (iii) the pattern language is divided into 6 sub-modules, through which the user can select a pattern. Secondly, the result of using the network analysis tool as a tool for using the pattern language (i) suggests the new method of using the pattern language by using the network analysis tool (Gephi); (ii) makes it possible to easily figure out the characteristics of the links between the patterns; and (iii) increases the completeness of the pattern language by making it easy to find out the sub-patterns in selecting a pattern.

• Journal of radiological science and technology
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• v.30 no.4
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• pp.419-426
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• 2007

In this paper, the input pattern vectors are extracted and the learning algorithms is designed to recognize taste(bitter, sweet, sour and salty) pattern vectors. The signal intensity of taste are used to compose the input pattern vectors. The SOM(Self Organizing Maps) algorithm for taste pattern recognition is used to learn initial reference vectors and the ot-star learning algorithm is used to determine the class of the output neurons of the sunclass layer. The weights of the proposed algorithm which is between the input layer and the subclass layer can be learned to determine initial reference vectors by using SOM algorithm and to learn reference vectors by using LVQ(Learning Vector Quantization) algorithm. The pattern vectors are classified into subclasses by neurons in the subclass layer, and the weights between subclass layer and output layer are learned to classify the classified subclass, which is enclosed a class. To classify the pattern vectors, the proposed algorithm is simulated with ones of the conventional LVQ, and it is confirmed that the proposed learning method is more successful classification than the conventional LVQ.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.95-103
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• 2006

In this paper, the input pattern vectors are extracted and the learning algorithms is designed to recognize EEG pattern vectors. The frequency and amplitude of alpha rhythms and beta rhythms are used to compose the input pattern vectors. And the algorithm for EEG pattern recognition is used SOM to learn initial reference vectors and out-star learning algorithm to determine the class of the output neurons of the subclass layer. The weights of the proposed algorithm which is between the input layer and the subclass layer can be learned to determine initial reference vectors by using SOM algorithm and to learn reference vectors by using LVQ algorithm, and pattern vectors is classified into subclasses by neurons which is being in the subclass layer, and the weights between subclass layer and output layer is learned to classify the classified subclass, which is enclosed a class. To classify the pattern vectors of EEG, the proposed algorithm is simulated with ones of the conventional LVQ, and it was a confirmation that the proposed learning method is more successful classification than the conventional LVQ.