• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5280-5287
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• 2014

This paper proposes a method in which classes are grouped as a hierarchical tree structure for the effective classification of the Raman spectra. As experimental data, the Raman spectra of 28 chemical compounds were obtained, and pre-treated with noise removal and normalization. The spectra that induced a classification error were grouped into the same class and the hierarchical structure class was composed. Each high and low class was classified using a PCA-MAP method. According to the experimental results, the classification of 100% was achieved with 2.7 features on average when the proposed method was applied. Considering that the same classification rates were achieved with 6 features using the conventional method, the proposed method was found to be much better than the conventional one in terms of the total computational complexity and practical application.

• Journal of Korea Multimedia Society
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• v.9 no.3
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• pp.265-278
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• 2006

This paper presents a two-dimensional type inheritance hierarchy index(2D-THI) for XML databases. XML Schema is one of schema models for the XML documents supporting. The type inheritance. The conventional indexing techniques for XML databases can not support XML queries on type inheritance hierarchies. We construct a two-dimensional index structure using multidimensional file organizations for supporting type inheritance hierarchy in XML queries. This indexing technique deals with the problem of clustering index entries in the two-dimensional domain space that consists of a key element domain and a type identifier domain based on the user query pattern. This index enhances query performance by adjusting the degree of clustering between the two domains. For performance evaluation, we have compared our proposed 2D-THI with the conventional class hierarchy indexing techniques in object-oriented databases such as CH-index and CG-tree through the cost model. As the result of the performance evaluations, we have verified that our proposed two-dimensional type inheritance indexing technique can efficiently support the query Processing in XML databases according to the query types.

• Journal of architectural history
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• v.14 no.1 s.41
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• pp.123-134
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• 2005

This study is focused on a space for man in upper classes house that is one of appeared characteristics as Korea, China and Japan imported Confucianism become common cultural base in these countries. Because a space for man in these countries has the same nature represented as a typical space in a upper classes house, and this space is differentiated by regional features, a way of thinking, a way of life and social structure as well, these characteristics are compared one another. Import of Confucianism influenced formation of a upper classes house and the spaces of the house are divided by generation, sexuality and classes. A space for man become a center of the house as well as a space for reception in accordance with patriarchism because this space stands for hierarchy of the house. A space for man of each country, Korea, China and Japan, has differences; that is, Chinese Jeongbang is used as a space for family as well as for guests; Korean Sarangchae is for only men and used as a reception space; Japanese Zasiki is used just for reception. These differences among countries are caused by owner's class, a civil officer or a military officer, and this class differentiated the characteristics of reception for guest. Even though the these countries take the space for man for meeting, Chinese is for family, Korean is for ancestors and Japanese is for guests.

• Convergence Security Journal
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• v.18 no.3
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• pp.53-59
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• 2018

In this paper, we propose a hierarchical image classification scheme for efficient object image classification. In the non-hierarchical image classification, which classifies the existing whole images at one time, it showed that objects with relatively similar shapes are not recognized efficiently. Therefore, in this paper, we introduce the image classification method in the hierarchical structure which attempts to classify object images hierarchically. Also, we introduce to the efficient class structure and algorithms considering the scalability that can occur when a deep learning image classification is applied to an actual system. Such a scheme makes it possible to classify images with a higher degree of confidence in object images having relatively similar shapes.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.157-166
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• 2020

Automated rebar fabrication, which requires effective information exchange between model designers and fabricators, has brought the integration and interoperability of data from different sources to the notice of both academics and industry practitioners. Industry Foundation Classes (IFC) was one of the most commonly used data formats to represent the semantic information of prefabricated components in buildings, whereas the data format utilized by rebar fabrication machine is BundesVereinigung der Bausoftware (BVBS), which is a numerical data structure exchanging reinforcement information through ASCII encoded files. Seamless transformation between IFC and BVBS empowers the automated rebar fabrication and improve the construction productivity. In order to improve data interoperability between IFC and BVBS, this study presents an IFC extension based on the attributes required by automated rebar fabrication machines with the help of Information Delivery Manual (IDM) and Model View Definition (MVD). IDM is applied to describe and display the information needed for the design, construction and operation of projects, whereas MVD is a subset of IFC schema used to describe the automated rebar fabrication workflow. Firstly, with a rich pool of vocabularies practitioners, OmniClass is used in information exchange between IFC and BVBS, providing a hierarchy classification structure for reinforcing elements. Then, using International Framework for Dictionaries (IFD), the usage of each attribute is defined in a more consistent manner to assist the data mapping process. Besides, in order to address missing information within automated fabrication process, a schematic data mapping diagram has been made to deliver IFC information from BIM models to BVBS format for better data interoperability among different software agents. A case study based on the data mapping will be presented to demonstrate the proposed IFC extension and how it could assist/facilitate the information management.

• Journal of Environmental Science International
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• v.12 no.4
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• pp.383-391
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• 2003

The purpose of this research explain the meaning of the environmental design principles and cultural landscape pattern(dualistic space organization) of the Hahoe(河回:winding river village) the Yangdong(良洞) traditional village. Village's space organizations based on Shamanism, fin-yang and Five elements principle, Feng-shui idea, social system and Confucian ideas. And it were accomplish curat landscape pattern(village:form+object=pattern) through the frame of settlement space. As a central persons of villages(the Hahoe $.$ the Yangdong) construction, Suhae(西厓) experienced tough Chunghyodang - Wonjichongsa - Ogyonchongsa - Pyongsansowon channel(忠孝堂 -遠志精舍 -玉端精含 -脣山書院) and Kyomam(謙 ) experienced tough Yangjindang - Binyeonchongsa - Kyomamchongsa - Hwachonsodang(養眞堂 - 賓淵精舍 - 謙庵f精舍 - 花川書堂) channel. Also Woojae(愚齋) experienced tough Suhbackdang - Khankachung - Dongkangsowon(書百堂 - 觀稼停 - 東江書院) and Hoejae(晦齋) experienced tough Moochumdang - Hyangdan - Oaksansowon(無添堂 - 香壇 - 玉山書院). It is space organization of themselves interact contrast and sequence principles with competition in good faith. And ecological art-space, that is, environmental spare organizations of traditional village has been reflected harmony between nature and artificiality, spatial rhythm and sequence, spatial hierarchy between upper classes and humble class, permeability space, asymmetrical balance, aesthetic space perception. The humble classes hold a ceremony Hahoe's Pyolsingut-Talnori(maskdance drama), Dangjae(堂祭:religious service) at the Dang(堂:shamanism spot) and Yangdong's Sohraesulnori, Hohminori. And the upper class hold a ceremony Hahoe's Julbulnori and Yangdong's Chungjanori connected with culture of confucianism. Specially, the cultural structure cf the village is evidence of a contrast between the upper class and the humble classes, time, method and location of ceremony(performance).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.296-301
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• 2012

Currently, in order to develop an intelligent search engine to help users retrieve information effectively, many metodes have been used. The effective retrieval methods of these methods use ontology technology. Ontology technology is the core of the Semantic Web. In the Semantic Web, ontology technology can be used to retrieve related information through the inference engine more accurately and simply on the Semantic Web. In this paper, we implement and design college information retrieval based on ontology to retrieve college class, graduate school class and person class. We have collected the hierarchy structure about the College, graduate school and person informations, and we have used protege editor of the ontology developing tool to design some ontologies with the College informations collected. We also tested the designed ontology with the Inference Engine(Pellet) of protege editor, and implemented college information retrieval system using Inference Engine(Jena) for web services.

• Journal of the Korean housing association
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• v.24 no.5
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• pp.57-67
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• 2013

The purpose of this study is to find out distributional principles of the shop-houses in residential district through physical composition of residential area. Through the research that are based on literature and field survey, it analysed the relation between physical composition of residential area and the shop-houses of selected four sites under similar urban condition where land readjustment project were held. The consequences of this study are summarized as follows; 1) A road that is not penetrating the inside a residential area is seemed to have low occupancy of shops comparing to other roads with similar hierarchy. And the shops functions as convenience facilities. It can be inferred from the statement above that even a road with higher hierarchy is not easy to form commercial area if without penetrating the residential area. 2) According to the size and the arranged method of Inner blocks of residential area towards major roads, distribution of shop-houses appear to be different. In other words, when shop-houses are located along the roads, the proportion of shop was higher than when located perpendicular to the roads. 3) When the number of average lots are little and the size of block is small, usually, street ratio and the number of corners gets higher, which eventually increases the number of shop-houses.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.19-33
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• 2013

In this research, a proposed Dynamic Virtual Ontology using Tags (DyVOT) supports dynamic search of resources depending on user's requirements using tags from social web driven resources. It is general that the tags are defined by annotations of a series of described words by social users who usually tags social information resources such as web-page, images, u-tube, videos, etc. Therefore, tags are characterized and mirrored by information resources. Therefore, it is possible for tags as meta-data to match into some resources. Consequently, we can extract semantic relationships between tags owing to the dependency of relationships between tags as representatives of resources. However, to do this, there is limitation because there are allophonic synonym and homonym among tags that are usually marked by a series of words. Thus, research related to folksonomies using tags have been applied to classification of words by semantic-based allophonic synonym. In addition, some research are focusing on clustering and/or classification of resources by semantic-based relationships among tags. In spite of, there also is limitation of these research because these are focusing on semantic-based hyper/hypo relationships or clustering among tags without consideration of conceptual associative relationships between classified or clustered groups. It makes difficulty to effective searching resources depending on user requirements. In this research, the proposed DyVOT uses tags and constructs ontologyfor effective search. We assumed that tags are extracted from user requirements, which are used to construct multi sub-ontology as combinations of tags that are composed of a part of the tags or all. In addition, the proposed DyVOT constructs ontology which is based on hierarchical and associative relationships among tags for effective search of a solution. The ontology is composed of static- and dynamic-ontology. The static-ontology defines semantic-based hierarchical hyper/hypo relationships among tags as in (http://semanticcloud.sandra-siegel.de/) with a tree structure. From the static-ontology, the DyVOT extracts multi sub-ontology using multi sub-tag which are constructed by parts of tags. Finally, sub-ontology are constructed by hierarchy paths which contain the sub-tag. To create dynamic-ontology by the proposed DyVOT, it is necessary to define associative relationships among multi sub-ontology that are extracted from hierarchical relationships of static-ontology. The associative relationship is defined by shared resources between tags which are linked by multi sub-ontology. The association is measured by the degree of shared resources that are allocated into the tags of sub-ontology. If the value of association is larger than threshold value, then associative relationship among tags is newly created. The associative relationships are used to merge and construct new hierarchy the multi sub-ontology. To construct dynamic-ontology, it is essential to defined new class which is linked by two more sub-ontology, which is generated by merged tags which are highly associative by proving using shared resources. Thereby, the class is applied to generate new hierarchy with extracted multi sub-ontology to create a dynamic-ontology. The new class is settle down on the ontology. So, the newly created class needs to be belong to the dynamic-ontology. So, the class used to new hyper/hypo hierarchy relationship between the class and tags which are linked to multi sub-ontology. At last, DyVOT is developed by newly defined associative relationships which are extracted from hierarchical relationships among tags. Resources are matched into the DyVOT which narrows down search boundary and shrinks the search paths. Finally, we can create the DyVOT using the newly defined associative relationships. While static data catalog (Dean and Ghemawat, 2004; 2008) statically searches resources depending on user requirements, the proposed DyVOT dynamically searches resources using multi sub-ontology by parallel processing. In this light, the DyVOT supports improvement of correctness and agility of search and decreasing of search effort by reduction of search path.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.741-753
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• 2003

This study begins with paying attention to the agglomeration of 'Residential-Commercial Mixed Use Buildings(hereafter, R-C MU Buildings)', which tend to be a high grade and large sized building cluster at various neighboring areas in Seoul. The purpose of this study is to understand the relationship between emerging new housing type and residential area by analyzing the characteristics of residential neighborhood that is mainly created by R-C MU Buildings. For this purpose, the specialization and the regional characteristics(in connection with the hierarchy in urban spatial structure) of R-C MU Building's residential neighborhood were analyzed. In the end, the specific type of housing reveals the tendency to be differentiated in terms of income, education and occupation related with housing and residential area. And the residential characteristics also seem to be different according to the regions based on the central place hierarchical structure. It means that the social and class factors are important in choosing house, but the characteristics of the neighborhood area play an important role in the selection of resident area. Finally, the location of certain type of housing can influence the selecting process of residence and it can also determine the characteristics of the resident area in turn.