• 대한수의학회지
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• 제55권2호
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• pp.125-131
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• 2015

A total of 11,395 animals were impounded in shelters in Seoul in 2013. The Animal Protection Division of the Seoul metropolitan government has annual contracts with local veterinary associations as well as Korean animal rescue and management organizations for providing shelter to animals, and collects monthly statistics from these groups. In 2013, the collected intake and outcome data for 25 districts were reviewed to analyze shelter capacity in terms of housing capacity (monthly daily average intake, required holding capacity, and adoption-driven capacity), staff capacity (staff hours required for daily care), and live release rate. Seasonal variations in the monthly daily average intake were observed, indicating that management of these shelters requires various strategies. This study was performed to analyze and interpret meaningful statistics for improving the efficiency of animal shelters in Seoul. However, inconsistent collection of animal statistics limited data compilation. Creation of a basic animal statistics matrix with reference to well-designed matrices from recognized professional animal shelters is essential. These complied statistical data will help plan for future animal shelter needs in Seoul.

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1383-1391
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• 2018

A new nonlinear filtering algorithm for effectively denoising images corrupted by the random-valued impulse noise, called dual sliding statistics switching median (DSSSM) filter is presented in this paper. The proposed DSSSM filter is made up of two subunits; i.e. Impulse noise detection and noise filtering. Initially, the impulse noise detection stage of DSSSM algorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order, simultaneously. Next, the median of absolute difference (MAD) obtained from both sorted statistics and non-sorted statistics will be further processed in order to classify any possible noise pixels. Subsequently, the filtering stage will replace the detected noise pixels with the estimated median value of the surrounding pixels. In addition, fuzzy based local information is used in the filtering stage to help the filter preserves the edges and details. Extensive simulations results conducted on gray scale images indicate that the DSSSM filter performs significantly better than a number of well-known impulse noise filters existing in literature in terms of noise suppression and detail preservation; with as much as 30% impulse noise corruption rate. Finally, this DSSSM filter is algorithmically simple and suitable to be implemented for electronic imaging products.

• Spatial Information Research
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• 제8권1호
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• pp.15-29
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• 2000

최근 급변하는 기술환경에서 향상된 정보서비스를 제공하기 위하여 지자체 또는 중앙정부차원에서 막대한 예산을 투입하여 GIS를 활용한 행정업무의 전산화를 추진하고 있거나 추진할 예정이다. 이러한 시점에서 예산의 중복투자 방지, 기 투자재원리 재활용을 극대화한다는 측면에서 행정업무 전산화의 특징을 살펴 행정업무 전산화사업에 있어서 GIS 응용 컴포넌트의 도입 가능성을 검토하고자한다. 본 연구서는 정보통신부 주관사업인 「개방형 GIS 컴포넌트 S/W 개발」 프로젝트에서 토지민원서비스 응용 컴포넌트를 개발하였다. GIS 응용컴포넌트는 OpenGIS의 OLE/COM 기반으로 만들어지며, 그 개발방법으로는 USD (Unified System Development), 시스템설계는 UML(Unified Modeling Language), 컴포넌트의 구현은 Visual C++를 이용하였다. 구현된 컴포넌트들은 Process Control, Map, Print, Statistics 컴포넌트들로서 Visual Basic 과 Delphi를 이용하여 구현된 컴포넌트를 검증하였다. 본 연구의 결과 컴포넌트의 개발이 지자체의 GIS 업무개발에 매우 유용하게 활용될 것으로 판단된다. 그러나 업무활용의 극대화를 위해서는 업무, 자료, 시스템의 표준화가먼저 선행되어야 할 것으로 보인다.

• 한국지역사회생활과학회지
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• 제18권3호
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• pp.455-467
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• 2007

Recently, there has been a gradual growth of retired in-migrants in high-amenity, rural areas in Korea. However, little has known about that the retirement migration is a blessing or a blight for a local economy in Korea. Therefore, in this study, we intend to explore the relationship between retirement migration and economic development of rural communities in Korea. For this purpose, we used the 1995 and 2000 census data and annual regional statistics for 138 counties in Korea. Based on the previous empirical studies, economic development was measured by 3 indicators such as GRDP (Gross Regional Domestic Product), job creation in the wholesale and retail sector, and the increase of local tax. Also, cross-tab, scatter plot, and correlation were analyzed using the SPSS Windows Program. The finding are as follows: First, from 1995 to 2000, nearly 11 percent of rural counties showed 10 percent and over increase of in-migration rate among retirees. Second, correlation statistics showed a close relationship between retirement in-migrant flows and economic resurgence. In particular, retirement in-migration rates were significantly tied to the job creation of the wholesale and retail sector (r=.19, p<.05) as well as car ownership rate (r=.58, p<.001) resulting in the increase of local tax. However, there was non-significantly positive correlation between retirement in-migrant flows and GRDP change (r=.13). Knowledge of these relationships will be important to policy-makers and for understanding the role that retirement in-migration play in stimulating economic growth of rural communities in Korea.

• 한국환경보건학회지
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• 제37권4호
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• pp.250-257
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• 2011

Objectives: This study was aimed at re-assessing the environmental burden of disease attributable to waterrelated diseases using available local data from Korea. Methods: The general methods and the operational definitions for water, sanitation and hygiene applied to the study were based on an environmental burden of disease study conducted by WHO. Eleven water-related diseases were selected. The attributable fraction for diarrhea was calculated by assessing local exposure levels to drinking water, sanitation and hygiene according the scenario-based approach. The attributable fractions for the other ten diseases were derived from the results of the environmental burden of diseases study. The attributable DALYs were measured by using the attributable fractions and local health statistics. Results: The total environmental burden of disease attributable to water, sanitation and hygiene for Korea was 0.9210 DALY per 1000 capitals. Of the total burden of disease, the attributable burden of diarrhea was 0.8863 (96.1%), the attributable burden of malaria and malnutrition was 0.0236 and 0.0063 DALY per 1000 capitals, respectively. There was little burden of disease measured for other diseases. Conclusions: This study is meaningful in re-assessing the environmental burden of disease using available local exposure data and health statistics. Quantitative analysis of the environmental risk factors and a health impact assessment would be helpful to prioritize health policies or interventions in the future.

• 한국기록관리학회지
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• 제21권1호
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• pp.1-18
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• 2021

우리나라의 공공기관은 '공공기록물 관리에 관한 법률'에 따라 생산의무기록물을 생산하고, 매년 국가기록원에 생산 현황 통계를 제출하고 있다. 그런데 지방자치단체에서 실제 생산하는 의무기록물 현황과 기록원에 제출한 현황 통계에 차이가 있다. 이를 바탕으로 생산의무기록물의 생산관리 제도에 대한 문제점을 찾아서 그 개선안을 제시하였다. 문제점은 생산의무기록물에 해당되는 범위가 모호하며, 업무 담당자의 이해도 부족하다. 그리고 특정 업무 중심의 기록물만 생산되고 있는 실정이다. 개선안으로는 지방자치단체의 생산의무기록물 대상을 분명히 정하며, 업무 담당자는 이에 대한 이해를 해야하고, 자치단체의 생산의무기록물의 생산과 관리에 대한 조례를 제정한다.

• 대한지역사회영양학회지
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• 제28권4호
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• pp.329-339
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• 2023

Objectives: This study aims to explore consumer awareness and usage patterns of local food in Jecheon city during the COVID-19 pandemic, contributing to the establishment of the Jecheon City Food Plan. Methods: Surveys were conducted from July 24 to August 24, 2021, using a combination of web-link and self-administered methods for adults living in Jecheon city (n = 250). Descriptive analysis, t-test, importance and satisfaction analysis (ISA) of local food choice attributes were performed using SPSS Statistics. Results: Participants prioritized freshness when purchasing agricultural products. The freshness of Jecheon local food was the selection attribute with the highest consumer satisfaction and could provide purchase motivation. Approximately 73.6% of respondents understood the concept of local food, and 70% were familiar with Jecheon's local food. Notably, 94.8% expressed an intention to purchase but held negative views on selling local food in other areas. The need to increase the supply of local food to vulnerable populations and public school catering was highly recognized. The ISA identified 'affordable price', 'delivery service', and 'product information' as areas requiring improvement. On the other hand, 'freshness of products', 'quality for the price', and 'support for local farmers and economy' were identified as attributes to be maintained and strengthened. Conclusions: Consumers in Jecheon city recognized local foods as more than just 'consumer goods'. Our findings suggest the need for further research on local food revitalization and more comprehensive local food planning to enhance consumer satisfaction.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.121-131
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• 2020

This study aims to investigate the interplay between education and local roads on Foreign Direct Investment (FDI) in the Philippines, using economic growth as an instrument. The study used the quantitative research design applying both descriptive and inferential statistics. A combination of Two Stage Least Square Regression Model and three approaches in Panel Regression Model such as Pooled Least Square, Fixed Effect Model, and Random Effect Model were utilized in order to study the effects of education and local roads on foreign direct investment of the Philippines. Based on Fixed Effect regression results, higher education graduates and local road investments, as conditioned by economic growth, were significant factors in order to increase the foreign direct investment in the Philippines. Accordingly, a unit increase in higher education graduates, as conditioned by economic growth, leads to 8.758 unit increases in the foreign direct investment. While, a unit increased in local road investments, as conditioned by economic growth, leads to a 0.002 decrease in foreign direct investment. The regression results of the study suggest that the Foreign Direct Investment in the regions such as CAR, I, II, IV-B, V, VIII, IX, X, XI, XII, XIII, and ARMM are higher compared to Region IV-A.

• 보건의료산업학회지
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• 제8권2호
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• pp.11-22
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• 2014

This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

• Smart Structures and Systems
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• 제14권2호
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• pp.85-104
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• 2014

Damage detection is a challenging, complex, and at the same time very important research topic in civil engineering. Identifying the location and severity of damage in a structure, as well as the global effects of local damage on the performance of the structure are fundamental elements of damage detection algorithms. Local damage detection is essential for structural health monitoring since local damages can propagate and become detrimental to the functionality of the entire structure. Existing studies present several methods which utilize sensor data, and track global changes in the structure. The challenging issue for these methods is to be sensitive enough in identifYing local damage. Autoregressive models with exogenous terms (ARX) are a popular class of modeling approaches which are the basis for a large group of local damage detection algorithms. This study presents an algorithm, called Influence-based Damage Detection Algorithm (IDDA), which is developed for identification of local damage based on regression of the vibration responses. The formulation of the algorithm and the post-processing statistical framework is presented and its performance is validated through implementation on an experimental beam-column connection which is instrumented by dense-clustered wired and wireless sensor networks. While implementing the algorithm, two different sensor networks with different sensing qualities are utilized and the results are compared. Based on the comparison of the results, the effect of sensor noise on the performance of the proposed algorithm is observed and discussed in this paper.