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분산 공간데이타베이스의 위치 불일치 해결을 위한 공간질의영역 변형
황정례,이기준,김혜영 한국정보과학회 2004 정보과학회논문지 : 데이타베이스 Vol.31 No.4
분산 지리정보시스템을 구현하는데 가장 어려운 점 중의 하나는 공간데이타베이스의 불일치이다. 특히, 여러 가지 이유로 발생하는 분산 공간 데이타베이스 사이의 위치 불일치는 공간 질의의 결과를 부정확하게 만든다. 하나의 간단한 해결책은 가장 중요한 사이트에 따라 각 사이트의 공간데이타베이스에 있는 위치 데이타를 보정하는 것이다. 그러나, 이러한 방법은 각 사이트의 자율성이 중시되어야 하는 경우에는 실용적이지 않다. 본 논문에서는 위치 데이타가 불일치하는 여러 개의 공간데이타베이스에 대하여 공간질의를 처리하는 방법을 제시한다. 본 논문에서 제시하는 방법은 각 지역 공간데이타베이스를 수정하지 않고 자율성을 보장하는 방식으로 공간질의를 처리할 수 있도록 한다. 본 논문에서 제안하는 방법은 탄성변형방법을 이용하면서, 각 질의의 위치를 동적으로 변환하는 방법에 기초하고 있다. 이 방법의 정확성은 수학적으로 증명이 되었으며, 실험으로도 확인하였다. 더욱이, 이 방법의 유용성 검증을 위하여 상용 데이타베이스시스템을 이용하여 구현하였다. One of the most difficult problems in building a distributed GIS lies in the heterogeneity of spatial databases. In particular, positional mismatches between spatial databases, which arise due to several reasons, may incur incorrect query results. They result in unreliable outputs of query processing. One simple solution is to correct positional data in spatial databases at each site, according to the most accurate one. This solution is however not practical in cases where the autonomy of each database should be respected. In this paper, we propose a spatial query processing method without correcting positional data in each spatial database. Instead of correcting positional data, we dynamically transform a given query region or position onto each space where spatial objects of each site are located. Our proposed method is based on an elastic transformation method by using delaunay triangulation. Accuracy of this method is proved mathematically, and is confirmed by an experiment. Moreover, we implemented using common use database system for usefulness verification of this method.
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전화연,조영임,고정은,김순오,박찬병,황정례 동남보건대학 2003 論文集-東南保健大學 Vol.21 No.2
This research was conducted to identify job satisfaction of medical center nurses. The purpose of this study is to provide a basic source of data to increase job satisfaction medical nurses. The sample consisted of 64 nurses of a medical center located in Suwon. The data were collected during a one month period from September 1 to 30, 2003. The tool used for the study was a structured questionnaire which was Slavitt's job satisfaction scale. The data were analyzed by frequency, percentage, mean, standard deviation, χ^2-test, Pearson's correlation coefficient, t-test, ANOVA, and Cronbach's alpha by use of the SPSS Win 10.1. The results of the study are as follows : 1) The mean age of subjects was 30.00 years old. 42.2% of the respondents were married and 70.3% were graduates of 3-year colleges. 2) The mean job satisfaction level was 3.09 and the standard deviation was .24. The level of job satisfaction is revealed a 'moderate' satisfaction. Comparing the scores between 7 factors of job satisfaction, the highest score was obtained at the level of professional status(3.60), interaction(3.59), autonomy(3.50), nurse-doctor relationship(3.02), administration(2.81), task requirement(2.70), and pay(2.52) in order. 3) In the correlation among 7 factors of job satisfaction, pay was significantly related with the administration(r= .331, p= .009) and interaction(r=- .305, p= .016). Professional status was significantly related with the nurse-doctor relationship(r= .349, p= .005) and autonomy(r= .497, p= .000). Nurse-doctor relationship was significantly related with the administration(r= .403, p= .001), autonomy(r= .263, p= .038) and task requirement(r= .279, p= .027). Administration was significantly related with the autonomy(r= .311, p= .014) and task requirement(r= .313, p= .013). Autonomy was significantly related with the interaction(r= .390, p= .002). 4) As for general characteristics influencing on the job satisfaction, married status was significantly related with professional status(t=-2.801, p= .007) while working place was significantly related with pay(F=2.847, p= .032), nurse-doctor relationship(F=8.702, p= .000), administration(F=2.857, p= .031) and total job satisfaction(F=3.278, p= .018).
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