• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.623-632
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• 2007

GML is a markup language presented as exchange standard for geographic information by the OGC(Open GIS Consortium). In spatial network databases, researches for supporting GML(Geographic Markup Language) can be divided into the parsing, the storing and the retrieval of GML documents. Among them, the study on the storage of GML documents is essential for their efficient retrieval. However there is little research on the storing of GML documents whereas there have been a lot of researches on the storing of n documents. Because the storage schema designed for XML documents are not appropriate for geographic information, we, in this paper, propose three storage schema for efficiently storing GML documents including geographic information in order to solve the problem that the XML storage schema store duplicate data and need to search many tables for obtaining elements. In addition, we design and implement a low-level storage manager which can store GML documents using the proposed GML storage schema.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.171-176
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• 2015

This study was carried out to determine the relation between cognition, depression and aggression in the elderly. A questionnaire survey was conducted with 198 elderly people in K region. The results were as follows. (1) The cognition of the elderly showed significant difference by gender, age, religion, marital status, education, living together, healthcare and monthly income (p<.05), and depression showed significant difference by gender and monthly income (p<.05). (2) Cognition and aggression(r=.15, p=.030), depression and aggression(r=.39, p<.001) there was a significant correlation between. Physical aggression and verbal aggression proved most significant correlation among the sub-factors(r=.55, p<.001). (3) Depression (${\beta}=0.568$, p<.001) had an significant influence on aggression. The explanation power was shown to be 10.0%. Accordingly, aggression management programs that are tailored according to the depression level of the elderly are required, and nursing based on this consideration would be of help to improve their quality of life.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.193-201
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• 2010

Being an element of plastic arts and a language of plastic forms, the color white has significant potential for improving the quality of physical environment. Colors are dealt with scientifically in chromatics, and also often become an interesting topic when analyzing a society and its history and culture. Thus, an in-depth study of the symbolism of color white and, of white pigment are required because the color has not only an important chromatic value and this should be understood a great deal, but also been the important symbol of a culture in a particular period. This paper examined the significance of the color white identified in Asian and Western cultures based on scientific and psychological understanding of the color. This also analyzed a few major white pigments, then demonstrated different methods of using the pigments and various techniques of expression used by Asian and Western painters. In addition, the paper attempted to raise awareness of the color white as chromatic color over non-color by examining the contrasting viewpoints on the color, and the changes in the viewpoints over time and place.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1077-1094
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• 2016

Apache Spark is a fast and general-purpose cluster computing package. It provides a new abstraction named resilient distributed dataset, which is capable of support for fault tolerance while keeping data in memory. This type of abstraction results in a significant speedup compared to legacy large-scale data framework, MapReduce. In particular, Spark framework is suitable for iterative machine learning applications such as logistic regression and K-means clustering, and interactive data querying. Spark also supports high level libraries for various applications such as machine learning, streaming data processing, database querying and graph data mining thanks to its versatility. In this work, we introduce the concept and programming model of Spark as well as show some implementations of simple statistical computing applications. We also review the machine learning package MLlib, and the R language interface SparkR.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.714-725
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• 2013

The purpose of this study was to investigate language receptive characteristics of children with multicultural families in according to living areas. The subjects were 132 mother with children for living multicultural families 3 to 6 years old. The results were as follows. First, the differences of home environment on nationality, all variables were significant differences on emotional atmosphere, experience's variety, and play data in statistically. Second, the differences of home environment on age all variables were significant differences on permission, independent's upbringing emotional atmosphere, experience's variety and physical environment in statistically. Third, the differences of home environment on educational background, all variables were significant differences on predictable environments, developmental stimulation, quality of language environments, permission, independent's upbringing emotional atmosphere, experience's variety, physical environment and play data in statistically. Fourth, the differences of home environment on communication method in home, all variables were significant differences in statistically as communication(general korean) they use in home. Fifth, the differences of home environment on occupation existence, all variables were not significant differences in statistically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1663-1674
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• 2013

The purpose of this study was a methodological research to develop an instrument to assess the medical tourism satisfaction of foreign tourist. A primary instrument with 63 questions was developed based on literature review. A group of experts revised individual questions and removed 9 irrelevant questions. This secondary instrument, then, was distriuted from Jury 1, 2012 to October 20, 2012. It was tested with 589 members of foreign tourist. After factor analysis on the final 42 questions, 7 factors were identified; quality of medical service, correspondance, tourism connection, sympathy, convenience, believability, and economical efficiency. The total variance explained was 60.9%. This instrument was statistically reliable and valid to measure medical tourism satisfaction of foreign tourist.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.43-66
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• 2008

Currently be proceeded a lot of researchers for 'user information demand description' for interface of an information retrieval system or Web search engines, but user information demand description for a natural language form is a difficult situation. These reasons are as they cannot provide the semantic similarity that an information retrieval model can be completely satisfied with variety regarding an information demand expression and semantic relevance for user information description. Therefore, this study using the description logic that is a knowledge representation base of OWL and a vector model-based weight between concept, and to be able to satisfy variety regarding an information demand expression and semantic relevance proposes a decision way for perfect assistances of user information demand description. The experiment results by proposed method, semantic similarity of a polyseme and a synonym showed with excellent performance in decision.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.262-269
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• 2017

The purpose of this study is to provide direction of medical education by analysing medical school student's perception structure about 'happy doctor'. In particular, this study compared perception structure between two groups of students before clerkship and after clerkship. The subject of this study were 1~4 academic year students in medical school. Students' text about 'happy doctor' were collected by open-ended questionnaire and analyzed by using sematic network analysis. Based on the result of network analysis, perception structure of each groups were confirmed. The network of each groups have 'Professionalism' group including words such as 'patient', 'treatment', 'worthwhile' in common. Three groups, 'Professionalism', 'Quality of life' and 'Self-realization' constituted the before clerkship network. And five groups, 'Professionalism', 'Time with family', 'Balance between work and household', 'Interpersonal relationship', 'Physical and psychological health' constituted the after clerkship network. The results of this study is expected to contribute for developing the basic medical education curriculum for 'happy doctor'.

• Journal of KIISE:Software and Applications
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• v.33 no.8
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• pp.703-717
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• 2006

The Semantic Web has the objective of developing universal media in which machine-processable semantic information can be represented and shared, and it is therefore important to distribute ontologies that represent this kind of semantic information to the Web and make them available to multiple parties. However, the current ontology authoring tools are not operating on the Web, which makes it difficult to distribute ontologies directly to the Web and to create and edit them collaboratively with other people. This paper proposes a framework that facilitates the ontology construction and sharing, realizing easy distribution of ontologies to the Web. Wiki is one of the frameworks for collaborative construction and sharing of knowledge on the Web, and Wiki contents consist of natural language texts and simple markup language for visualization. For better collaboration in creating and sharing ontologies, this paper suggests the Semantic Wiki that embodies the Semantic Web features to the existing Wiki system. The Semantic Wiki framework facilitates the collaboration in ontology co-authoring and sharing for people, and at the same time, makes it possible for the agent software to easily manage the ontology information. Eventually, the Semantic Wiki system accomplishes various tasks including the semantic view, the semantic navigation, and the semantic query.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.2
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• pp.254-262
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• 2007

연구목적: 본 연구는 암 간호정보체계에 사용될 한국 6대 암 환자의 핵심간호진단을 결정하기 위해 수행되었다. 핵심간호진단 은 6대 암, 각 환자 군의 간호를 위해 가장 자주 혹은 많이 사용되는 일정의 간호진단 세트로 정의된다. 본 연구에서 6대 암 환자의 핵심간호진단을 결정하고자 하는 가장 큰 목적은 간호진단 과정에서의 편리성을 높임으로써 앞으로 개발될 암 간호정보체계의 유용성과 사용가능성을 높이기 위함이다. 연구방법: 핵심간호진단은 조사연구를 통해 결정하였으며, 결정된 진단들은 문헌고찰과 환자기록 분석을 통해 그 타당도를 확인하였다. 환자기록 분석은 특히 조사연구 결과의 타당도를 확인하기 위해 사용되었다. 조사연구에 사용된 도구 및 환자기록에 나타난 간호진단 혹은 간호문제의 교차분석을 위해서는 NANDA Taxonomy II에 포함된 간호진단이 사용되었다. 219명의 경력간호사가 조사연구에 참여하였으며, 72개의 환자기록이 분석되었다. 핵심간호진단은 암 간호 정보체계의 언어개발을 위해 구성된 전문가 집단에 의해 조사연구 참여자의 20% 이상이 선택한 NANDA 간호진단으로 정하였다. 연구결과: 16개 ${\sim}$ 20개의 NANDA 간호진단이 한국 6대 암, 각 환자군의 핵심간호진단으로 선정되었다. 핵심간호진단 중 '급성통증', '만성통증', '불안', '감염가능성', '피로' 등이 6대 암 환자 군에 모두 포함되었다. 결론: 핵심간호진단의 타당도는 환자기록 분석과 문헌고찰을 통해 확인되었다. 이들 핵심진단은 암 간호정보체계에 사용되어 간호진단 적용을 촉진함으로써 암 환자 간호의 질 향상에 기여할 수 있을 것이다.