• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2004.10a
• /
• pp.27-40
• /
• 2004

When we derive multi-scale databases from a source spatial database, thegeometries and topological relations in the source database are transformed according to a predefined set of constraints. This means that the derived databases should be checked to see if the constraints are respected during the construction or updates of databases and to maintain the consistency of multi-scale databases. In this paper, we focus on the topological consistency between the source and derived databases, which is one of the important constraints to respect. In particular, we deal with the method of assessment of topological consistency, when 2-dimensional objects are collapsed to 1-dimensional ones. We introduce eight types of topological relations between 2-dimensional objects and 19 topological ones between 1-dimensional objects and propose four different strategies to convert 2-dimensional topological relations in the source database to 1-dimensional ones objects in the target database. With these strategies, we guarantee the topological consistency between multi-scale databases.

• International Area Studies Review
• /
• v.22 no.4
• /
• pp.209-227
• /
• 2018

The issue of climate change, which calls for urgent and improved action by countries around the world, requires cooperation from the international community. Therefore, consistency among various policies on climate change is particularly important. This study analyzes the relationship between the implementation of SDGs and the scale of assistance in the field of climate change in order to see if there is consistency between domestic policy and aid policy to address climate change issues. An analysis of the correlation between the indices related to the domestic implementation of SDGs and ODA amounts in the field of climate change by OECD countries was conducted. As a result, there is a significant negative correlation between imported CO2 emissions and the portion of climate change ODA. On the other hand, the amount of CO2 emissions embodied in fossil fuel export is significantly positively correlated with the portion of ODA for climate change. Consistency between domestic and aid policies of OECD countries in the field of climate change is not sufficiently ensured, and climate change, the cross-cutting issue, is not being pursued in a consistent direction across national policy.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.04b
• /
• pp.36-38
• /
• 2000

기업의 거대화와 전산 환경과의 접목으로 비즈니스 규칙이 프로세스로 재구성되어 지고 있다. 하나의 트랜잭션이 수행되기 위해서는 여러 상관관계를 가진 여러 개의 프로세서가 상호 작용하면서 수행된다. 각 프로세스간의 상호작용 관계를 규정하고 멱등적인 결과와 데이터의 일관성을 유지하면서 보다 효율적인 워크플로우 관리시스템을 구성하는 방법을 제시한다.

• International Journal of Highway Engineering
• /
• v.11 no.2
• /
• pp.159-166
• /
• 2009

On freeways, factors inducing traffic accidents consist of two major elements such as driver factors and road environment factors. Research have been done and shown that there would be relationship between design elements such as radius, slopes, superelevations, and observed speeds and accident rates. The present paper confirms that these elements are correlated with accident rates. Furthermore, the paper identifies standard deviation of these elements as the design consistency and compare them with reduction of accident rates. This type of work leads to identify the fact that standard deviations based design consistency are correlated with accident rates. The results of the paper may contribute to encourage the quantified use of design consistency during highway design.

• Journal of the Korean Society for information Management
• /
• v.38 no.3
• /
• pp.1-22
• /
• 2021

An online experiment was conducted to test the subject-knowledge view of relevance theory in order to find evidence of a conceptual basis for relevance. Six experts in Library and Information Science (LIS), nine Master's students of LIS, and twelve non-experts judged the relevance of 14 abstracts within and outside of the LIS domain. Consistency among the judges was calculated by joint-probability agreement (PA) and interclass correlation coefficients (ICC). When using PA to analyze the judgements, non-experts had a higher consensus regardless of the task or division of groups. However, ICC calculations found Master's candidates had a higher level of consensus than non-experts within LIS, although the experts did not; and the agreement rates on the non-LIS task for all groups were only poor to moderate. It was only when the groups were analyzed as two groups (experts including Master's candidates and non-experts) that the expected trend of higher consistency among experts in the LIS task was seen.

• The Korean Journal of Applied Statistics
• /
• v.28 no.5
• /
• pp.871-883
• /
• 2015

Vector autoregressive (VAR) models in high dimension suffer from noisy estimates, unstable predictions and hard interpretation. Consequently, the sparse vector autoregressive (sVAR) model, which forces many small coefficients in VAR to exactly zero, has been suggested and proven effective for the modeling of high dimensional time series data. This paper studies coupling measures to select non-zero coefficients in sVAR. The basic idea based on the simulation study reveals that removing the effect of other variables greatly improves the performance of coupling measures. sVAR model coefficients are asymmetric; therefore, asymmetric coupling measures such as Granger causality improve computational costs. We propose two asymmetric coupling measures, filtered-cross-correlation and filtered-Granger-causality, based on the filtered residuals series. Our proposed coupling measures are proven adequate for heavy-tailed and high order sVAR models in the simulation study.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.4
• /
• pp.807-817
• /
• 2014

This paper considers multivariate time series modelling of PM10 data in Korea collected from 2008 to 2011. We consider both temporal and spatial dependencies of PM10 by applying the sparse vector autoregressive (sVAR) modelling proposed by Davis et al. (2013). It utilizes the partial spectral coherence to measure cross correlation between different regions, in turn provides the sparsity in the model while balancing the parsimony of model and the goodness of fit. It is also shown that sVAR performs better than usual vector autoregressive model (VAR) in forecasting.

• 한국노년학
• /
• v.30 no.1
• /
• pp.81-91
• /
• 2010

The purpose of this study was to test a validity and reliability of Cognitive Performance Scale(CPS), a cognitive measure generated from 5 items(comatose status, decision making, short-term memory, making self understood, and eating). Method: 393 patients in 2 hospitals for the elderly with dementia were measured with CPS by two nurses independently. The inter-rater agreement was tested by comparing two scores. The CPS score was compared with GDS, which was measured by doctors and nurses, and MMSE score which was drawn from the claim data of Health Insurance Review & Assessment Service. Result: The correlation coefficient between CPS and GDS was 0.742(p<0.0001), CPS and MMSE was -0.794(p<0.0001). The Cronbach's coefficient alpha of CPS was 0.742, Kappa value was 0.772~1.000. The CPS showed high validity and reliability in long term care hospitals of Korea.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 1998.04a
• /
• pp.710-721
• /
• 1998

본 논문에서 추구하는 내용과 목표는 현실적인 필요성에도 불구하고 그의 과학적이고 객관적인 규명을 위한 연구가 미진했던 것이 사실이다. 가장 큰 이유는 비교적 단기간에 할 수 있는 소음의 각종 물리적 특성에 대한 연구와는 달리 소음과 생명(인체 및 동물) 사이의 관계에 대한 연구는 장기간 노력이 필요하기 때문이다. 이러한 의미에서 이 논문은 이 분야에 대한 국내의 연구노력에서 중요한 시발점이 되고 있다고 믿는다. 무엇보다도 소음에 의한 인체피해와 가축피해의 인과관계를 규명하여 피해량 산출의 근거를 마련한 것은 큰 의미가 있다고 생각한다. 물론, 이들 결과는 현재로서는 객관적 처리가 가능한 요소들만을 바탕으로 하고 있고, 앞으로 계속 보완되어야 할 여지는 있지만, 현장 조사에 따른 여러 가지 사회적 혹은 인간적 요소들이 적절히 반영되어 종합적으로 고려될 때 소음 피해분쟁 해결에 만족할 수준의 체계성과 일관성을 유지할 수 있으리라고 기대한다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.4
• /
• pp.215-221
• /
• 2016

The subjects of this study were 64 young children aged 12 to 36 months old and their mothers and teachers. The attachment Q-set and an instrument for teachers' responsivity were used. Data were analyzed using SPSS 18.0, and Cronbach's and Pearson's r were calculated. The results were as follows. Teachers' consistency, warmth, and sensitivity were significantly correlated with the children's attachment to teachers. In addition, teachers' warm and sensitive responses were related to the children's attachment to mothers. Teachers' warm, sensitive, and responsive characteristics are emphasized for quality interactions between young children and teachers, since they contribute to the children's secure attachment to their mothers as well as teachers.