• 제목/요약/키워드: multi-regression

검색결과 1,204건 처리시간 0.022초

아동 및 청소년의 행동문제 척도 개발 (Development of Behavior Problem Scale for Children and Adolescence)

  • 김경연
    • 가정과삶의질연구
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    • 제16권4호
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    • pp.155-166
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    • 1998
  • The purpose of this study was to develop ' the Behavior Problem Scale for Children and Adolescence' The 518 subjects were selected from 5th and 6th grades of elementary schools and first and second grades of middle schools in Pusan. Statistics used for data analysis were χ2 cramer's V, factor analysis multi-regression Pearson's r, Cronbach's a. The major finding of this study were as follows 1) 80 items of the 159 item scale were acceptable through item discriminant method The discriminant coefficients of the items(Cramer's V) ranged from .48 to .81. 2) 6 factors(shyness aggression hyperactivity withdrawal anxious immature) extracted from factor analysis,. Multi-regression analysis conducted to reduce the length of scale have drawn 42 items for 'the Behavior Problem Scale Children and Adolescence' 3) Reliability coefficients(Cronbach's a) of this scale was 94.

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심리적 효과를 고려한 체험적 안전교육 방안

  • 우태희;엄기수
    • 건설안전기술
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    • 통권51호
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    • pp.93-105
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    • 2010
  • The object of this study is to understand the psychological factor of the worker on safety and recommend experimental factor of safety education program. The following are the methods of this study. We analyzed the statistical data from survey to workers(N=139) about the psychological factor on safely. The survey consisted of 34 questions about 4 factors like private external characteristic, psychological characteristic, characteristics on behavior, and experience and reason of disaster. As the result of the analysis of the multi regression model on the base of correlation of each of the major factors, psychological health, effort on practicing, and satisfaction on their life were the variables with high influence on the safety mind of workers. So, it is good safety strategy for effective working to maintain healthy life with optimistic minds, and try to practice actively as usual. After considering the result, for the development of safety education program for working, we have to consider psychological factors of our workers that influence their safety and try to improve the experimental education opportunity, and it will be effective.

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Structural joint modeling and identification: numerical and experimental investigation

  • Ingole, Sanjay B.;Chatterjee, Animesh
    • Structural Engineering and Mechanics
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    • 제53권2호
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    • pp.373-392
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    • 2015
  • In the present work, structural joints have been modeled as a pair of translational and rotational springs and frequency equation of the overall system has been developed using sub-structure synthesis. It is shown that using first few natural frequencies of the system, one can obtain a set of over-determined system of equations involving the unknown stiffness parameters. Method of multi-linear regression is then applied to obtain the best estimate of the unknown stiffness parameters. The estimation procedure has been developed first for a two parameter joint model and then for a three parameter model, in which cross coupling terms are also included. Two cases of structural connections have been considered, first with a cantilever beam with support flexibility and then a pair of beams connected through lap joint. The validity of the proposed method is demonstrated through numerical simulation and by experimentation.

한국 아동의 자아 존중감척도의 개발 (Development of Self-Esteem Inventory for Children in Korea.)

  • 김희화
    • 대한가정학회지
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    • 제34권5호
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    • pp.1-12
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    • 1996
  • The purpose of this study was to develop the Self-Esteem Inventory for Children in Korea. The 772 subjects were selected from 3rd-6th grades of elementory schools and the first and second grades of middle schools in Pusan. Statistics used for data analysis were Pearson's r, Cramer's V, X2, factor analysis, multi-regression, splithalf reliability, Cronbach's α. The major findings were that 1) eight factors(home self, personality self, academic self, teacher-related self, general self, physical-appearance self, peer-related self, physical-competence self) were extracted by factor analysis, multi-regression analysis conducted to reduce the iength of inventory have drawed 38 items for the Self-Esteem Inventory for Children in Korea. 2) the discriminant coefficients of the items (Cramer's V) ranged from 0.55 to 0.67. 3) the reliability coefficients of this inventory (Cronbach's α) ranged from 0.63 to 0.81. It was concluded that Self-Esteem Inventory for children is acceptable.

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인적특성을 고려한 고령 운전자 교통사고 영향요인 분석 (Analysis of Old Driver's Accident Influencing Factors Considering Human Factors)

  • 김태호;김은경;노정현
    • 한국안전학회지
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    • 제24권1호
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    • pp.69-77
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    • 2009
  • This paper reports the aging driver traffic accident severity modeling results. For the modeling, Poisson regression approach is applied using the data set obtained from the Korea Transportation Safety Authority's simulator-based driver aptitude test results. The test items include the estimations of moving objects' speed and stopping distance, drivers' multi-task capability, and kinetic depth perception and so on. The resulting model with the response variable of equivalent property damage only(EPDO) indicated that EPDO is significantly influenced by moving objects' speed estimation and drivers' multi-task capabilities. More interestingly, a comparison with the younger driver model revealed that the degradation of such capabilities may result in severer crashes for older drivers as suggested by the higher estimated parameters for the older driver model.

Footing settlement formula based on multi-variable regression analyses

  • Hamderi, Murat
    • Geomechanics and Engineering
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    • 제17권1호
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    • pp.11-18
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    • 2019
  • The formulas offered so far on the settlement of raft footings provide only a rough estimate of the actual settlement. One of the best ways to make an accurate estimation is to conduct 3-dimensional finite element analyses. However, the required procedure for these analyses is comparatively cumbersome and expensive and needs a bit more expertise. In order to address this issue, in this study, a raft footing settlement formula was developed based on ninety finite element model configurations. The formula was derived using multi-parameter exponential regression analyses. The settlement formula incorporates the dimensions and the elastic modulus of a rectangular raft, vertical uniform pressure and soil moduli and Poisson's ratios up to 5 layers. In addition to this, an equation was offered for the estimation of average deflection of the raft. The proposed formula was checked against 3 well-documented case studies. The formula that is derived from 3D finite element analyses is useful in optimising the raft properties.

다문화가정 청소년의 구강보건교육경험 영향요인 (Factors influencing oral health education of adolescents of multi-cultural families)

  • 임선아
    • 한국치위생학회지
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    • 제20권3호
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    • pp.325-333
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    • 2020
  • Objectives: The purpose of this study was to determine the factors influencing oral health education of adolescents from multi-cultural families. Methods: The subjects were 711 multi-cultural adolescents from the 15th(2019) Korean youth risk behavior web-based survey. Multi-cultural adolescents were defind as the children of marriage migrant women. The collected data was analyzed using the chi-squared test and logistic regression; SPSS versin 18.0 was used. Results: Middle-school adolescents received more oral health education than their high-school counterparts. The adolescents with once-daily and twice-daily teeth brushing behaviors were 0.475 (p<0.05) and 0.784 times less those with thrice-daily behavior, respectively. Adolescents who received oral health education also experienced dental care 1.644 times more than their counterparts(p<0.05). Conclusions: The promotion of oral health among multicultural families and further education through the establishment of school oral health education programs are required.

Change Detection of Land-cover from Multi-temporal KOMPSAT-1 EOC Imageries

  • Ha, Sung-Ryong;Ahn, Byung-Woon;Park, Sang-Young
    • 대한원격탐사학회지
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    • 제18권1호
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    • pp.13-23
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    • 2002
  • A radiometric correction method is developed to apply multi-temporal KOMPSAT-1 EOC satellite images for the detection of land-cover changes b\ulcorner recognizing changes in reflection pattern. Radiometric correction was carried out to eliminate the atmospheric effects that could interfere with the image properly of the satellite data acquired at different multi-times. Four invariant features of water, sand, paved road, and roofs of building are selected and a linear regression relationship among the control set images is used as a correction scheme. It is found that the utilization of panchromatic multi-temporal imagery requires the radiometric scene standardization process to correct radiometric errors that include atmospheric effects and digital image processing errors. Land-cover with specific change pattern such as paddy field is extracted by seasonal change recognition process.

세장비가 큰 사각케이스 성형 공정에서의 인공신경망을 적용한 초기 블랭크 형상 최적설계 모델 개발 (A Development of Optimal Design Model for Initial Blank Shape Using Artificial Neural Network in Rectangular Case Forming with Large Aspect Ratio)

  • 곽민준;박지우;박근태;강범수
    • 소성∙가공
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    • 제29권5호
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    • pp.272-281
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    • 2020
  • As the thickness of mobile communication devices is getting thinner, the size of the internal parts is also getting smaller. Among them, the battery case requires a high-level deep drawing technique because it has a rectangular shape with a large aspect ratio. In this study, the initial blank shape was optimized to minimize earing in a multi-stage deep drawing process using an artificial neural network(ANN). There has been no reported case of applying artificial neural network technology to the initial blank optimal design for a square case with large aspect ratio. The training data for ANN were obtained though simulation, and the model reliability was verified by performing comparative study with regression model using random sample test and goodness-of-fit test. Finally, the optimal design of the initial blank shape was performed through the verified ANN model.

수정된 GMDH 알고리즘 기반 다층 퍼지 추론 시스템에 관한 연구 (A Study on Multi-layer Fuzzy Inference System based on a Modified GMDH Algorithm)

  • 박병준;박춘성;오성권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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    • pp.675-677
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    • 1998
  • In this paper, we propose the fuzzy inference algorithm with multi-layer structure. MFIS(Multi-layer Fuzzy Inference System) uses PNN(Polynomial Neural networks) structure and the fuzzy inference method. The PNN is the extended structure of the GMDH(Group Method of Data Hendling), and uses several types of polynomials such as linear, quadratic and cubic, as well as the biquadratic polynomial used in the GMDH. In the fuzzy inference method, the simplified and regression polynomial inference methods are used. Here, the regression polynomial inference is based on consequence of fuzzy rules with the polynomial equations such as linear, quadratic and cubic equation. Each node of the MFIS is defined as fuzzy rules and its structure is a kind of neuro-fuzzy structure. We use the training and testing data set to obtain a balance between the approximation and the generalization of process model. Several numerical examples are used to evaluate the performance of the our proposed model.

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