• Proceedings of the Acoustical Society of Korea Conference
• /
• 1998.06d
• /
• pp.40-45
• /
• 1998

본 논문은 한국산 박새(Parus major)의 소리(song)를 이용해서 태백산맥을 경계로 동서간의 지리적 변이에 관한 논문이다. 박새 소리의 지리적인 변이를 알아보기 위하여 지역간 음절의 시간과 주파수 요인을 비교하고, factor의 군집화의 지역간의 변이정도를 알아보기 위하여 Cluster Analysis와 discriminant Analysis를 실시하였다. 그 결과 태백산맥을 경계로 동쪽지역여과 서쪽지역은 영덕군과 청송군, 삼척시와 태백시를 중심으로 해서 지리적인 변이를 나타냈다.

• Korean journal of applied entomology
• /
• v.50 no.4
• /
• pp.325-333
• /
• 2011

This study focused on the green peach aphid, Myzus persicae, as an indicator pest in Chinese cabbage cultivation to develop a genetic marker. We hypothesized that M. persicae gene flow is related to climate change. Genetic variation was analyzed using five local populations collected at different altitudes (157 m, 296 m, 560 m, 756 m and 932 m above sea level) in Hoengseong, Pyeongchang, and Gangneung areas, plus a laboratory strain used as an outgroup. There were no differences in ecological characteristics among strains. Esterase isozyme pattern and inter-simple sequence repeat (ISSR) PCR results showed significantly different bands between laboratory and wild, local populations. However, there was no difference among local populations. Partial fragments of ribosomal RNA (rRNA) and mitochondrial cytochrome oxidase I (mtCO I) were amplified and their nucleotide sequence was analyzed. Single nucleotide polymorphisms (SNPs) were detected in internal transcribed spacer-2 (ITS-2) and mtCO I regions among the five local populations. These SNPs can be use to discriminate different populations of M. persicae to monitor gene flow.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.393-396
• /
• 2010

지금까지 필기 변이를 완화하기 위한 다양한 비선형 정규화 방법들이 제안되었으며 실제 인식 시스템에서 상당한 인식률 개선 효과를 나타내었다. 그러나, 필기 한글 인식에 있어서는 필기 변이 외에도 문자간의 높은 유사도로 인해 높은 인식률을 얻는데 어려움을 겪고 있다. 한글과 같이 문자간 유사도가 높은 언어를 효과적으로 인식하기 위해서는 필기 변이를 흡수하는 것뿐 아니라, 유사 문자간의 차이를 정확히 찾아내어 그 차이점을 부각시키는 것이 요구된다. 본 논문에서는 유사 문자간의 차이점을 부각시킬 수 있는 비선형 정규화 방법을 제안한다. 기존의 비선형 정규화 방법들이 영상의 지역적 복잡도를 균일화 함으로써 정규화를 수행했던 것에 반해, 제안하는 방법에서는 유사 문자쌍의 구분에 있어 지역적 공헌도에 기반하여 영상을 정규화한다. 즉, 유사 문자쌍 구분에 공헌도가 높은 지역은 확대하고 그렇지 않은 지역은 축소한다. 그 결과, 문자간에 서로 상이한 지역을 강조 함으로써 유사 문자쌍에 대한 구분력을 높인다. 실험 결과, 제안하는 방법으로 정규화된 영상에서는 유사 문자쌍의 차이점이 확대되었으며, 문자쌍의 구분 성능 또한 향상되었다.

• Journal of the Korean Geographical Society
• /
• v.49 no.6
• /
• pp.935-948
• /
• 2014

As chronic diseases have become more prevalent and problematic, effective cares for major chronic diseases have been a locus of the healthcare policy. In this regard, this study examines how region-specific characteristics affect the prevalence of hypertension in South Korea. To analyze, we combined a unique multi-year data set including key indicators of health conditions and health behaviors at the 237 small administrative districts. The data are collected from the Annual Community Health Survey between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. For the purpose of investigating regional variations, we estimated using Geographically Weighted Regression (GWR) and decision tree model. Our finding first suggests that using the multi-year data is more legitimate than using the single-year data for the geographical analysis of chronic diseases, because the significant annual differences are observed in most variables. We also find that the prevalence of hypertension is more likely to be positively associated with the prevalence of diabetes and obesity but to be negatively associated with population density. More importantly, noticeable geographical variations in these factors are observed according to the results from the GWR. In line with this result, additional findings from the decision tree model suggest that primary influential factors that affect the hypertension prevalence are indeed heterogeneous across regional groups. Taken as a whole, accounting for geographical variations of health conditions, health behaviors and other socioeconomic factors is very important when the regionally customized healthcare policy is implemented to mitigate the hypertension prevalence. In short, our study sheds light on possible ways to manage the chronic diseases for policy makers in the local government.

• Journal of Digital Convergence
• /
• v.11 no.9
• /
• pp.255-265
• /
• 2013

The purpose of this study was to identify the variation factors of hypertension medication rate between regions and to use them as a basic data for establishment of hypertension management business plan which is customized by region. The data were collected from community health survey, National Statistics Office and National Health Insurance Corporation, and were analyzed using the geographically weighted regression. As the result of analysis, the factors that influenced the hypertension medication rate between regions were subjective recognition rate of health level, the rate of medical aid client and the number of health facility per one hundred thousand of population. According to the geographically weighted regression, the total of 230 regional regression models composed of major variables which affected the hypertension medication rate were calculated. However, this study has several limitations that the explanatory power of model is not high and others. Therefore, a follow-up study which is based on the actual data of compliance with hypertension medication will be necessary.

• Journal of Digital Convergence
• /
• v.13 no.11
• /
• pp.241-254
• /
• 2015

This study examined changes in health behavior and prevalence of hypertension and diabetes during five years and analyzed determinants affecting on geographic variations of them. Data from Korean Community Health Survey in the period of 2008 and 2013 with 246 small districts were analyzed. Data were analyzed using convergence tools such as geographic information system tool and decision tree. During the five years period, areas of the increases in smoking and drinking were southwest regions showed increased smoking and areas of increases in physical activity are western regions. Areas of the increases in the prevalence of hypertension were west and south regions and in the prevalence of diabetes were east and north regions. Determinants affecting on regional variations in the prevalence of hypertension and diabetes were drinking, physical activity, obesity, arthritis, depressive symptom and stress. Mental health program should be developed for non-communicable disease. Thus, to decrease the prevalence of hypertension and diabetes, our study emphasized the necessity to develop customized mental health policies according to the region-specific characteristics.

• Journal of Digital Convergence
• /
• v.13 no.8
• /
• pp.375-385
• /
• 2015

This study aims to identify geographical variations and factors that affect smoking rates. The data are collected from the Community Health Survey conducted between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. Correlation and multiple regression analysis were used to examine the factors influencing smoking rates. For the purpose of investigating regional variations, we employed a decision tree model. The study has found that the significant factors associated with geographical variations in the smoking rates were the rate of hazardous drinking, the completion rate of hypertension education, the experience rate of anti-smoking campaigns, stress awareness rate, hypertension prevalence, health insurance cost, diabetes prevalence, obesity rate, and strength training rate. Convergence-based analysis on geographical variations of the smoking rates is highly important when the regionally customized healthcare programs is implemented. In the future, it is necessary to develop effective program and customized approach for the regions of high smoking rates. Our study is expected to be used as meaningful data for the design of effective health care programs and assessments to lead effective non-smoking program.

• Journal of Digital Convergence
• /
• v.13 no.10
• /
• pp.425-436
• /
• 2015

This study is to investigate how the expenditures for hypertension is affected by socioeconomic, health care resources, and health behavior factors with a special emphasis on geographic variations and to provide the data about regional management for hypertension. To analyze, we combined a unique data set including key indicators from Medical Service Usage Statistics 2012 by Region by National Health Insurance Corporation, Annual Community Health Survey 2012 by Korea Centers for Disease Control and Prevention and other government organizations at the 247 small administrative districts. We found that the average expenditures of hypertension in 249 small districts is 62,000 won and coefficient of variation is 30.0. Major factors of differences in hypertension expenditure is population density, marital status, household income, number of hospital per 100 thousand, medical expenses outside the jurisdiction, drinking rate, moderate and over-intensity physical activity, and hypertension diagnosis rate. The results of decision tree was that there were significant differences between regions in hypertension diagnosis rate, household income, marital status, number of hospital per 100 thousand, obesity rate, drinking rate. This study concluded that determinants of geographic variations in hypertension spending are not only health resources and socioepidemic characteristics but health behaviors.

• Journal of Digital Convergence
• /
• v.10 no.3
• /
• pp.207-218
• /
• 2012

The purpose of this study is to provide preliminary data for political measures to minimize the variations by understanding the regional variations and trends of hospital services for heart diseases, and analyzing the factors that could occur any variations. The various data collected from nation-wide inpatient services conducted separately by small region show that there have been some differences in income level, supply of medical resources, standardized rate of hospitalization by sex and age, health level in the residence, and the length of stay per head. Then it indicated that the number of special medical equipment per 10,000 people and the rate of vigorous physical activity have the highest influence over the regional variations in using hospital services. On the other hand, the number of sick-beds per 10,000 people, the number of special medical equipment, and the present smoking rate have significant degree of influence on the length of stay per head. Thus, it is imperative for the authorities to set aside health promoting policies and to distribute the medical resources equitably throughout the country and to enhance the accessibility of local residents to the health care services.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.469-482
• /
• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.