• Title/Summary/Keyword: Local Regression Rate

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관망자료를 이용한 인공지능 기반의 누수 예측 (Artificial Intelligence-based Leak Prediction using Pipeline Data)

  • 이호현;홍성택
    • 한국정보통신학회논문지
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    • 제26권7호
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    • pp.963-971
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    • 2022
  • 상수도 관망은 국가 수도 시설의 주요한 구성 요소이지만 대부분이 지중에 매립되어 있어 배관의 노후화 정도 및 누수를 파악하기 어려우므로 유지관리 하기가 매우 어렵다. 본 연구에서는 관망에 설치된 다양한 센서 조합을 가정하여, 데이터 조합에 따른 관로 누수 판별 가능성을 검토하기 위하여 선형회귀분석, 뉴로퍼지 등의 인공지능 알고리즘을 통한 유량과 압력 예측을 실시하여 최적 알고리즘을 도출하였다. 공급압력 예측을 통한 누수판별의 경우 뉴로퍼지 알고리즘이 선형회귀분석에 비하여 우수하였다. 누수유량 예측에서는 뉴로퍼지를 이용한 유량예측이 우선 고려되어야 한다. 다만, 유량을 모사하기 힘든 경우에는 선형 알고리즘을 이용한 공급압력 예측이 이루어져야 할 것으로 사료 된다.

Factors Influencing the Consumption of Wild and Cultivated Mushroom Species in Southwestern Nigeria

  • Adegbenjo, Ayanyemi Elizabeth;Adedokun, Margaret Olunfunsho;Oluwalana, Samuel Adeniran
    • Journal of Forest and Environmental Science
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    • 제36권4호
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    • pp.311-317
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    • 2020
  • Mushroom has economic, food and medicinal value to a large proportion of human populace. This study assessed the consumption pattern of mushroom species in Southwestern Nigeria. Non-probability sampling method was used to select 20 Local Government Areas (LGAs) from 3 states and four communities were selected purposively from each LGAs. Snow-ball sampling approach was used in selecting 5 respondents from each community, making a total of 400 respondents. Descriptive statistics was used to describe the socio-economic characteristics of the respondents, to compare the differences between the local (wild) and Exotic (cultivated) mushroom Species and to determine the rate at which mushroom substitute is consumed among the mushroom consumers. Logit regression was used to identify the factors influencing mushroom consumption in the study area. Thirty percent of the respondents were aged 41 to 50 years, with mean age of 49.76 years. About 82% had tertiary education, 17.3% earned above N200,000 monthly and 8.8% spent above N6000 monthly on mushroom. Logit regression showed that age (-3.21), household size (-2.17) and medicinal benefits (-2.17) had significant (p<0.01) negative effects on mushroom consumption. Conclusively, mushroom has wide acceptance among the general populace, good for food and medicine; hence, awareness should be created through agricultural policy on the need for mushroom cultivation and consumption in Nigeria.

농촌 지역 빈집 발생의 영향 요인 (Factors affecting the Occurrence of Rural Vacant Houses)

  • 김성록;김두순
    • 지적과 국토정보
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    • 제48권2호
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    • pp.65-77
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    • 2018
  • 빈집 연구에 있어 발생 영향 요인 파악은 매우 중요하다. 연구의 목적은 농촌 지역의 빈집 발생에 영향을 주는 요인을 분석하는 것이다. 121개 연구 대상 지역을 설정하고, 8개의 독립변수(노후 주택 비율, 주택 거래 비율, 주택 보급률, 지역 소멸 지수, 순 이동률, 지역 노령화 지수, 인구 대비 종사자수, 재정자립도)와 1개 종속변수(빈집 비율)를 선정하였다. 연구 결과, 첫째, 일반농산어촌 지역 전체를 대상으로 하는 모형 1과 군 지역을 대상으로 하는 모형 2는 모두 통계적으로 유의미하였으며, 잔차의 독립성에 문제가 없었다. 둘째, 지역 소멸 지수 및 노후 주택 비율의 경우 모형 1과 모형 2에서 모두 통계적으로 유의미한 정(+)의 관계가 있는 것으로 분석되었으며, 셋째, 주택 보급률의 경우, 모형 1에서만 통계적으로 유의미한 정(+)의 관계가 있는 것으로 분석되었고, 주택 거래 비율의 경우, 모형 2에서 통계적으로 유의미한 반(-)의 관계가 있는 것으로 분석되었다. 연구의 시사점가 도출되었다. 첫째, 가구 및 인구 증가가 없는 주택 보급률의 상승은 지역 내 빈집의 발생 확률을 높이는 것을 시사하고, 노후 주택 비율이 높을수록 빈집 발생 확률이 높아진다. 둘째, 주택 거래 활성화를 위해서는 지역의 중장기 발전을 위한 투자 유입이 필요하다. 셋째, 지역 소멸 지수는 빈집 비율과 유의미한 관계를 가지므로, 지역의 영속성을 위해 장기적인 시각에서 지역 활성화 정책이 도입되어야 한다.

기초지방자치단체 보건의료 지출수준의 결정요인 (Factors of Health Care Expenditure of Local Government)

  • 박삼영;장민영;박선희;나백주;김은영;김순영
    • 보건행정학회지
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    • 제23권1호
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    • pp.59-65
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    • 2013
  • Background: The purpose of this study was to analyze the related factors which decide the percentage of health care expenditure of the total fiscal expenditure of local governments and to provide the basic data to contribute for the efficient allotment of healthcare budget. Methods: This study was conducted by the percentage of health care expenditure for 3 years by classifying a total of 230 local governments into the metropolitan cities (gu, 69), the counties (si, 75), and the boroughs (gun, 86) all over the country. With the collected data, the general characteristics of independent variables and the dependent variable were analysed using SPSS ver. 18.0, The correlation analysis and multivariate regression analysis were conducted for the characteristics of variables according to regions by year. Results: In correlation between health care expenditure by year and other variables, there was a significant positive correlation with unemployment rate, metropolitan cities (gu) and other regions, the percentage of health center personnel, health care expenditure in last year as a independent factors. On the other hand there was no correlation with social assistance recipients and the percentage of aging population, financial self-reliance, industrialization rate, suicide rate, cardiac disease mortality, cerebrovascular mortality on health care expenditure. Conclusion: The study clearly shows that health care expenditure of local governance was not correlated with health care need factors comparing social welfare expenditure.

Determinants of Economic Segregation and Spatial Distribution of Poverty

  • Park, Yoonhwan
    • 유통과학연구
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    • 제17권3호
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    • pp.21-30
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    • 2019
  • Purpose - While many related prior studies have focused on the segregation by race and ethnicity, the academic interest in the separation of residence by income and social class is gradually increasing. This study aims to not only investigate spatial pattern of economic segregation and poverty rate in South Korea, but also shed light on what affect residential distribution of the poor. Research design, data, and methodology - The unit of analysis is Si-Gun-Gu municipal level entities of South Korea. Most demographic, socioeconomic, and residential variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of economic segregation and poverty rate in South Korea, a series of measurements and visualization was conducted through the Geo-Segregation Analyzer and ArcGIS programs. Determinants of economic segregation and local poverty rates were investigated by regression analyses using STATA. Results - The spatial patterns of areas with high poverty rates were extremely clustered, while the distribution of areas with high economic segregation was relatively evenly distributed. Demographic, residential, and local factors appeared to affect whether the poor live in particular area or spread evenly. Conclusions - The factors that raise the poverty rate result in lower level of economic segregation, while factors that reduce the poverty rate lead to severe level of economic segregation.

수도권 한방난임치료지원 조례 제정의 정책 확산 영향 요인 분석 (Analysis of the Influencing Factors of the Ordinance Enactment for Supporting Korean Medicine Infertility Treatment in the Metropolitan Area)

  • 김윤환;임병묵
    • 대한예방한의학회지
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    • 제25권3호
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    • pp.117-124
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    • 2021
  • Objectives : The purpose of this study is to analyze the factors affecting the enactment of local municipalities' ordinance for supporting Korean Medicine infertility treatment in the metropolitan area. Methods : For Seoul, Incheon, and Gyeonggi Province, data on the enactment of Korean Medicine infertility treatment and socio-demographic data of the local municipalities were collected through the Enhanced Local laws and regulations Information System and on-line statistical database. Logistic regression analysis was performed to analyze the factors affecting the enactment of the ordinance, The enactment of the ordinance was dependent variable, and the budgeting of local municipalities, the number of population, the number of births, the number of Korean Medicine doctors, and the total fertility rate were used as independent variables. Results : Up to 2000, the ordinances for supporting Korean Medicine infertility treatment were enacted in 16 local municipalities and the budget for that was supported by 18 local municipalities. Regarding the effect on the enactment of the ordinances, it was found that budgeting of Korean Medicine infertility treatment had a positive (+) effect, and the metropolitan government's budgeting and the total fertility rate had a negative (-) effect. Conclusions : This study suggests that the ordinance for Korean Medicine infertility treatment is a policy tool derived based on the problem of low fertility faced by each local municipality rather than the political influence of health provider's groups.

지역의 자살률 차이와 관련된 구성적 요인과 상황적 요인 (Compositional and Contextual Factors Related to Area Differentials in Suicide)

  • 강은정
    • 보건교육건강증진학회지
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    • 제30권1호
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    • pp.41-52
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    • 2013
  • Objectives: Rural-urban differences in suicide have been observed in many settings. However, there has been little research addressing what factors can explain these differences. The purpose of this study was to analyze which compositional factors and contextual factors in local areas might be related to local suicide. Methods: The study design was cross-sectional. The data for 251 primary local governments on their age-standardized suicide mortality and their predefined indicators of compositional factors and contextual factors were obtained from Korean Statistical Information Service as of year 2010. Bivariate analysis including one-way ANOVA and chi-square test were used to identify the differences in local features by area type. Seven poisson regression models for each of total, males, and females were used to analyze which compositional and contextual factors were related to suicide. Results: There were differences in suicide between gu and goon in total, male, and female groups. For total, compositional factors including divorce and smoking rate, and contextual factors including financial independency, water and waterwaste coverage, and number of wastewater discharge factories were found to explain the urban-rural differences. Conclusions: This study provided some evidence that contextual factors at the local level as well as compositional factors are useful for predicting local suicide mortality.

Regression models generated by gamma random variables with long-term survivors

  • Ortega, Edwin M.M.;Cordeiro, Gauss M.;Hashimoto, Elizabeth M.;Suzuki, Adriano K.
    • Communications for Statistical Applications and Methods
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    • 제24권1호
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    • pp.43-65
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    • 2017
  • We propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest has the Poisson distribution and the time for the event follows the gamma-G family of distributions. The extended family of gamma-G failure-time models with long-term survivors is flexible enough to include many commonly used failure-time distributions as special cases. We consider a frequentist analysis for parameter estimation and derive appropriate matrices to assess local influence on the parameters. Further, various simulations are performed for different parameter settings, sample sizes and censoring percentages. We illustrate the performance of the proposed regression model by means of a data set from the medical area (gastric cancer).

A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for Model-Based Testing in Software Product Line

  • Sulaiman, R. Aduni;Jawawi, Dayang N.A.;Halim, Shahliza Abdul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권3호
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    • pp.932-951
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    • 2021
  • The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.

울산지역 초등학생 알레르기 질환 유병률: 지역적 차이와 환경위험인자 (Prevalence of Children's Allergic Diseases in Ulsan: Local Differences and Environmental Risk Factors)

  • 오인보;김양호;심창선;이지호
    • 한국환경보건학회지
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    • 제38권6호
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    • pp.472-481
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    • 2012
  • Objectives: This study aims to investigate the AD (allergic diseases: asthma, allergic rhinitis and atopic dermatitis) prevalence among elementary schoolchildren in an industrial city, Ulsan, and identify major environmental risk factors associated with AD prevalence. Methods: Data on the physician-diagnosed prevalence over the past 12 months and potential risk factors of AD were collected through a questionnaire from a 2009-2010 survey of 4,067 schoolchildren living in different urban environments. The logistic regression analysis was performed to assess differences in AD prevalence among the areas and to determine which environmental factors impacted AD. Results: Our survey results showed that the AD prevalence rate ranged between 26.2% and 35.9%. Children living in polluted areas (near industrial and central urban areas) had about a 10% higher prevalence of AD than did those living in coastal or suburban residences. The Chi-Square test demonstrated that this local difference was statistically significant before and after adjustment of major confounders such as parental AD history and parental education. The results of the logistic regression analysis showed a statistically significant association between several environmental factors (ventilation in winter, odor conditions and exposure to traffic smoke, and outdoor $PM_{10}/O_3$ pollution) and the prevalence of AD found by multivariate model after adjusting confounders. Conclusion: These results suggest that local differences in AD prevalence are significantly associated with outdoor environmental factors. Although there are likely to be other risk factors for AD, living in a polluted area and exposure to high levels of air pollutants can contribute to an increased risk of childhood AD.