• 시큐리티연구
• /
• 제48호
• /
• pp.177-206
• /
• 2016

이 연구의 목적은 위험해석모형을 적용하여 범죄두려움의 영향요인을 검증하는 데 있다. 특히, 기존의 연구들이 위험해석모형에서 제시된 미시적 개인요소를 포함하지 않고 있어 이 연구에서는 미시적 개인요소, 지역사회요소, 범죄 위험의 인지, 범죄두려움 등을 주요 변인으로 포함하였다. 이 연구에 사용된 자료는 형사정책연구원(2012)에서 실시한 '전국범죄피해조사'의 2차 자료를 활용하였으며, 해당 변인들이 범죄두려움에 미치는 개별적인 영향력을 검증하고, 위험해석모형에서 제시된 인과적 경로관계를 규명하기 위해 2단계의 다중회귀분석과 Sobel Test를 실시하였다. 분석결과, 범죄 위험의 인지가 높을수록, 여성일수록, 지역사회가 무질서하다고 인식할수록, 연령이 낮을수록, 범죄피해를 경험할수록, 학력이 높을수록, 소득수준이 높을수록 범죄두려움을 보다 많이 인식하고 있었으며, 그리고 위험해석모형에서 제시된 인과적 경로관계는 학력을 제외하고 모두 유의미하게 제시되었다.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2000년도 춘계학술대회논문집
• /
• pp.231-236
• /
• 2000

• 한국유전체학회:학술대회논문집
• /
• 한국유전체학회 2003년도 The 12th Korea Genome Conference
• /
• pp.53.2-53.2
• /
• 2003

• 한국자기공명학회:학술대회논문집
• /
• 한국자기공명학회 2002년도 제20회 학술발표회
• /
• pp.1-1
• /
• 2002

• Journal of the Korean Data and Information Science Society
• /
• 제17권1호
• /
• pp.149-160
• /
• 2006

Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.

• Journal of the Korean Data and Information Science Society
• /
• 제15권2호
• /
• pp.297-306
• /
• 2004

It is usual that multivariate data analysis produces related (small number of) artificial variates for data reduction. Among them, refer to MDS(multidimensional scaling), MDPREF(multidimensional preference analysis), CDA(canonical discriminant analysis), CCA(canonical correlation analysis) and FA(factor analysis). Varimax rotation of artificial variables which is originally invented in FA for easy interpretations is applied to diverse multivariate techniques mentioned above. Real data analysisis is performed in order to manifest that rotation improves interpretations of artificial variables.

• 대한원격탐사학회지
• /
• 제26권3호
• /
• pp.305-316
• /
• 2010

The MODerate Resolution Imaging Spectroradiometer (MODIS) sensor has 36 bands at 250m, 500m, 1km spatial resolution. However, 500m or 1km MODIS data exhibits a few limitations when low resolution data is applied at small areas that possess complex land cover types. In this study, we produce seven 250m spectral bands by fusing two MODIS 250m bands into five 500m bands. In order to recommend the best fusion method by which one acquires MODIS data, we compare seven fusion methods including the Brovey transform, principle components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the least mean and variance matching method, the least square fusion method, the discrete wavelet fusion method, and the wavelet-PCA fusion method. Results of the above fusion methods are compared using various evaluation indicators such as correlation, relative difference of mean, relative variation, deviation index, peak signal-to-noise ratio index and universal image quality index, as well as visual interpretation method. Among various fusion methods, the local mean and variance matching method provides the best fusion result for the visual interpretation and the evaluation indicators. The fusion algorithm of 250m MODIS data may be used to effectively improve the accuracy of various MODIS land products.

• 지구물리와물리탐사
• /
• 제20권3호
• /
• pp.121-128
• /
• 2017

국내에서 시간영역 전자탐사(time-domain/transient electromagnetic, TEM) 자료의 해석은 1차원 알고리듬에 주로 의존하고 있는 실정이기 때문에 정밀한 해석을 위하여 3차원 모델링 및 역산 해석 프로그램의 개발이 필요한 상황이다. 이 연구에서는 엇갈린 격자를 이용한 시간영역 유한차분(staggered-grid finite-difference time-domain, FDTD)법에 기초하여 3차원 TEM 반응 모델링 알고리듬을 개발하였다. 시간영역 전자탐사의 모델링을 위해 맥스웰 방정식을 현시적 중앙점 FDTD법을 이용하여 이산화하였으며 수치 안정성을 높이기 위해 가상 변위전류항을 도입하였다. 일반적으로 많이 활용되는 소형 코일 송신원을 수치적으로 구현하여 균질 반무한 공간에서의 해석해와 비교 검증하고 3차원 이상체에 대한 반응을 분석하였다. 이 연구에서 개발된 모델링 프로그램은 향후 TEM 전자탐사 자료의 정밀 해석에 기초가 될 것으로 기대한다.

• 한국수학교육학회지시리즈A:수학교육
• /
• 제55권3호
• /
• pp.317-334
• /
• 2016

Knowledge and data interpretation on statistical estimation was important to have statistical literacy that current curriculum was said not to satisfy. The author investigated mathematics teachers' MKT on statistical estimation concerning interpretation of confidence interval by using questionnaire and interview. SMK of teachers' confidence was limited to the area of textbooks to be difficult to interpret data of real life context. Most of teachers wrongly understood SMK of interpretation of confidence interval to have influence upon PCK making correction of students' wrong concept. SMK of samples and sampling distribution that were basic concept of reliability and confidence interval cognized representation of samples rather exactly not to understand importance and value of not only variability but also size of the sample exactly, and not to cognize appropriateness and needs of each stage from sampling to confidence interval estimation to have great difficulty at proper teaching of statistical estimation. PCK that had teaching method had problem of a lot of misconception. MKT of sample and sampling distribution that interpreted confidence interval had almost no relation with teachers' experience to require opportunity for development of teacher professionalism. Therefore, teachers were asked to estimate statistic and to get confidence interval and to understand concept of the sample and think much of not only relationship of each concept but also validity of estimated values, and to have knowledge enough to interpret data of real life contexts, and to think and discuss students' concepts. So, textbooks should introduce actual concepts at real life context to make use of exact orthography and to let teachers be reeducated for development of professionalism.

• 한국데이터정보과학회:학술대회논문집
• /
• 한국데이터정보과학회 2005년도 추계학술대회
• /
• pp.177-188
• /
• 2005

Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.