• Title/Summary/Keyword: 종속변수

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Learning Assistant Application Using Non-Linear Regression (비선형 회귀를 이용한 학습도우미 애플리케이션)

  • Jang, Eun-yeong;Kim, Kang-Woo;Kim, Min-Sik;Ryu, Da-Eun;Park, Seoung-Mook;Ko, Byung-Chul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.235-237
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    • 2021
  • 코로나 19로 대학교 강의들이 비대면 방식으로 전환되고 있는데, 기존의 교수학습 지원센터는 웹 환경만을 제공한다. 따라서 본 논문에서는 모바일 애플리케이션을 통해 수강생들이 교수학습 지원센터에 쉽게 접근할 수 있도록 도와주는 시스템을 개발하였다. 애플리케이션에서 학생들의 강의 시간 및 시험, 과제 등의 일정을 관리해주고, 푸시 알림을 제공해주는 학습 도우미의 역할을 수행한다. 뿐만 아니라 직관적인 인터페이스, 다크 모드, scroll-to-top 버튼 등을 고려한 디자인으로 사용자의 편리함을 도모한다. 학습 도우미 애플리케이션의 가장 핵심기능 중 하나는 머신러닝 기법 중 비선형 회귀(Non-Linear Regression)을 이용해 성적 데이터를 분석해주는 차별화된 기능이다. 이를 위해 최종적인 성적을 종속변수, 일정 기간까지의 성적을 독립변수로 설정하여 기존의 성적 데이터를 바탕으로 종속변수인 최종성적을 랜덤 포레스트 비선형 회귀분석으로 예측하는 알고리즘을 제시하고자 한다.

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Variable selection with quantile regression tree (분위수 회귀나무를 이용한 변수선택 방법 연구)

  • Chang, Youngjae
    • The Korean Journal of Applied Statistics
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    • v.29 no.6
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    • pp.1095-1106
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    • 2016
  • The quantile regression method proposed by Koenker et al. (1978) focuses on conditional quantiles given by independent variables, and analyzes the relationship between response variable and independent variables at the given quantile. Considering the linear programming used for the estimation of quantile regression coefficients, the model fitting job might be difficult when large data are introduced for analysis. Therefore, dimension reduction (or variable selection) could be a good solution for the quantile regression of large data sets. Regression tree methods are applied to a variable selection for quantile regression in this paper. Real data of Korea Baseball Organization (KBO) players are analyzed following the variable selection approach based on the regression tree. Analysis result shows that a few important variables are selected, which are also meaningful for the given quantiles of salary data of the baseball players.

Effects of Service Quality Characteristics of Dessert Cafes on Consuming Behaviors according to Dietary Life Style (식생활 라이프스타일에 따른 디저트 카페의 서비스 품질 특성이 소비행동에 미치는 영향 연구)

  • Lim, Hyun-Ho;Yang, Dong-Hwi
    • Culinary science and hospitality research
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    • v.22 no.7
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    • pp.148-157
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    • 2016
  • This study verified the effects of the quality characteristics of dessert cafes by business start-ups according to dietary life styles of consumer. Data was collected over 15 days starting from April 15, 2016 from 218 customers who visited dessert cafes. In brief, the research results are as follows. First, in order to verify the influence of service quality of dessert cafes according to dietary life styles, 3-kinds of variables, namely taste-pursuing type, convenience-pursuing type, and health-pursuing type, were set up for the lower variables, and 2-kinds variables, specifically credibility and sympathy, were established for service quality as dependent variables. The results of the regression analysis showed that, taste-pursuing type (${\beta}=.371$, p<.001), convenience-pursuing type (${\beta}=.401$, p<.001), health-pursuing type (${\beta}=.474$, p<.001), all 3-kinds of dietary life style, had a significant, positive(+) corelation ton the credibility of service quality. in addition, regression analysis revealed that the sympathy type of service credibility and, all 3 dietary lifestyle types, taste-pursuing type (${\beta}=.145$, p<.001), convenience-pursuing type (${\beta}=.208$, p<.001), health-pursuing type (${\beta}=.236$, p<.001), showed a significant, positive (+) corelation. Second, as a result of verifying the effects of service quality on customer consuming behaviors at dessert cafes, it was determined that there was a significant, positive (+) corelation with credibility and sympathy in consuming behaviors such like credibility (${\beta}=.313$, p<.001), sympathy (${\beta}=.228$, p<.001).

Drinking, Smoking and Absenteeism, Discipline among Police Officers (경찰공무원의 음주, 흡연과 결근 및 징계)

  • Sin, Seong-Won
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.121-122
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    • 2015
  • 이 연구에서는 경찰공무원의 음주 및 흡연의 정도에 따른 결근 및 징계의 정도를 살펴보았다. 독립변수인 음주는 음주경험, 음주빈도, 음주량 그리고 흡연은 흡연유무, 흡연량으로 종속변수인 결근은 결근의사, 결근실행, 거짓결근 그리고 징계는 징계경험, 징계종류로 구성하여 빈도분석 및 교차분석을 실시하였다.

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Parameters Estimation for Pseudo Loudspeaker attached to Closed-Box and Enhanced Closed-Box Modeling (밀폐박스 상태의 가상 라우드스피커 매개변수 규명법 및 개선된 밀폐박스 모델링)

  • Park, Seok-Tae
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.10
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    • pp.983-992
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    • 2007
  • It was proposed to identify Thiele Small Parameters for loudspeaker attached to closed-box using known dynamic mass of moving parts. Also, enhanced PSPICE circuit model for closed-box loudspeaker system was proposed to more accurately simulate real closed-box loudspeaker system. Frequency dependent parameters were used to model voice coil inductor. Acoustic pressure response curves and electrical impedance curves were simulated and investigated by PSPICE circuit model according to compensation filter's parameters. Finally, proposed method is expected to be utilized for identification of pseudo Thiele Small parameters of microspeaker.

A credit classification method based on generalized additive models using factor scores of mixtures of common factor analyzers (공통요인분석자혼합모형의 요인점수를 이용한 일반화가법모형 기반 신용평가)

  • Lim, Su-Yeol;Baek, Jang-Sun
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.2
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    • pp.235-245
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    • 2012
  • Logistic discrimination is an useful statistical technique for quantitative analysis of financial service industry. Especially it is not only easy to be implemented, but also has good classification rate. Generalized additive model is useful for credit scoring since it has the same advantages of logistic discrimination as well as accounting ability for the nonlinear effects of the explanatory variables. It may, however, need too many additive terms in the model when the number of explanatory variables is very large and there may exist dependencies among the variables. Mixtures of factor analyzers can be used for dimension reduction of high-dimensional feature. This study proposes to use the low-dimensional factor scores of mixtures of factor analyzers as the new features in the generalized additive model. Its application is demonstrated in the classification of some real credit scoring data. The comparison of correct classification rates of competing techniques shows the superiority of the generalized additive model using factor scores.

The class testing based on a dependence graph (종속성 그래프 기반 클래스 테스팅)

  • Im, Dong-Ju;Bae, Sang-Hyun
    • Journal of Internet Computing and Services
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    • v.1 no.1
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    • pp.105-113
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    • 2000
  • The representation of a procedural program cannot be applied directly to object oriented program representation consisting of class, object, inheritance, and dynamic binding. Furthermore, preexisting program dependence represented the dependence among statements, but not among variables. That is, it could not solve the problem of which variables make an effect on given variables. Consequently, this study presents the method dependence model representing implementation level information including the dependence among variables in an object oriented program. I also propose implementation-based class testing technique based on the test adequacy criterion of an object-oriented program. Considering inter-data member dependences and a set of axioms for test data adequacy, it generates sequences of methods as test cases which satisfy a flow graph-based testing criterion. For a derived class testing, it considers inheritance relationship and the resuability of the testing information for its parent classes which verified the reduction of test cost through the experiment.

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Construction of Urban Crime Prediction Model based on Census Using GWR (GWR을 이용한 센서스 기반 도시범죄 특성 분석 및 예측모델 구축)

  • YOO, Young-Woo;BAEK, Tae-Kyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.65-76
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    • 2017
  • The purpose of this study was to present a prediction model that reflects crime risk area analysis, including factors and spatial characteristics, as a precursor to preparing an alternative plan for crime prevention and design. This analysis of criminal cases in high-risk areas revealed clusters in which approximately 25% of the cases within the study area occurred, distributed evenly throughout the region. This means that using a multiple linear regression model might overestimate the crime rate in some regions and underestimate in others. It also suggests that the number of deserted houses in an analyzed region has a negative relationship with the dependent variable, based on the multiple linear regression model results, and can also have different influences depending on the region. These results reveal that closure signs in a study area affect the dependent variable differently, depending on the region, rather than a simple or direct relationship with the dependent variable, as indicated by the results of the multiple linear regression model.

중소기업 종사자들의 직무적합성과 조직공정성 인식이 직무역량에 미치는 영향에 관한 연구

  • Jeong, Hwa;Ha, Gyu-Su
    • 한국벤처창업학회:학술대회논문집
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    • 2019.04a
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    • pp.181-185
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    • 2019
  • 본 연구는 중소기업에 종사하는 구성원들의 직무역량에 영향을 미치는 요인으로 개인의 직무적합성과 조직의 공정성 두 변수를 독립변수로 하여 분석하였다. 각각의 독립변수별로 하위에 세부변수를 도출하여 세부변수별로 직무역량에 미치는 상관관계 정도를 분석하여 중소기업 인사 실무담당자들이 인력채용이나 직무관리 시에 종사원들의 직무역량 향상을 위해 필요한 시사점을 제시하고자 한다. 국내 중소기업 종사자 323명을 대상으로 설문지를 회수하여 SPSS와 AMOS를 활용하여 요인분석 및 신뢰도 분석, 타당성 분석을 실시하고, 회귀분석 등을 통해 독립변수와 종속변수간 상관관계를 분석하였다. 대부분의 선행연구가 직무역량이 직무만족이나 조직몰입 등에 미치는 영향을 분석한 반면, 본 연구는 직무역량 향상에 영향을 미치는 변수들을 도출하고 세부변수별로 직무역량에 미치는 영향 정도를 구분하여 제시하고자 한다.

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