• Title/Summary/Keyword: Regression testing

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A Study on the Life-Time Estimation of ACSR Transmission Line Due to a Flame (화염으로 인한 ACSR 송전선의 수명예측에 관한 연구)

  • Kim, Young-Dal
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.8
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    • pp.77-84
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    • 2005
  • The considerations for reminder life of transmission line is gradually higher. It is requisite for investigation of ACSR life to test tensile load of ACSR as a fundamental data. It is vary important to analysis correlations between results of tensile load testing and elapsed years. Estimation of ACSR life can be obtained by statistics processing using mechanical experimental results. It is a general method to use regression analysis as a statistics processing technique. In this paper, we did experiment on tensile strength of ACSR by using a new and due to flame for artificial fire, and gathering due to a flame. The limit of life estimation is decided by basic line using twenty percentage reduction of rate tensile strength. This basic line is like to results of Canada Ontario Hydro-research. There are $480[mm^2]$ ACSR which are experimented on this study.

Factors Influencing Self-Care Behaviors Related to Insulin Therapy in Elders with Diabetes Mellitus (노인 당뇨병환자의 인슐린요법 관련 자가간호행위에 대한 영향요인)

  • Sohn, Na-Yeong;Yang, Jin-Hyang
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.20 no.1
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    • pp.27-36
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    • 2013
  • Purpose: Self-care behavior is a key dimension of healthcare quality among elderlys with diabetes mellitus. The purpose of this study was to identify factors associated with self-care behaviors related to insulin therapy among elders with diabetes mellitus. Methods: The research was a cross-sectional, descriptive design using questionnaires. The participants were 147 older adult patients with diabetes mellitus receiving insulin therapy. Data were analyzed using descriptive statistics, t-test, ANOVA and multiple regression with SPSS statistics 19.0 program. Results: Participants' self-care behaviors related to insulin therapy were not adequate. Stepwise multiple regression analysis for self-care behaviors related to insulin therapy revealed that the most powerful predictor was self-efficacy. Self-efficacy, family support and frequency of blood sugar test explained 54.4% of the variance in self-care behaviors related to insulin therapy. Conclusion: The results indicate a need to promote self-efficacy, family support and frequency of blood sugar testing with these participants. In addition, strategies to improve self-care behaviors among elderly patients should be considered by health professionals, family members and the elderly patients themselves.

Macroeconomic and Firm-specific Factors Influencing Non-Performing Loans in Bangladesh: A Panel Data Regression Approach

  • AMIN, Md. Iftekharul;AHSAN, Aumit;Al MUKTADIR, Mahmud;AZAD, Muntasir;REZANUR, Razib Hasan Bin
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.95-105
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    • 2021
  • A prerequisite of a sound financial system is effective channeling of financial resources to efficient users; hence maximizing economic and societal welfare. To that end, the prevalence of bad loans in banks in emerging economies is a major policy concern. In an attempt to add to the growing body of literature explaining the interrelationship between macroeconomic and firm-specific factors, and non-performing loans (NPL), this paper examines data from 24 scheduled commercial banks in Bangladesh from 2008 to 2019. Macroeconomic factors as well as firm-specific factors related to profitability, capital strength, and efficiency are considered. Panel data regression analysis is performed to estimate pooled OLS, fixed effects, and random effects models. Following the necessary testing, it was found that the fixed effects model with robust standard error is appropriate. Results show that return on assets and inflation have a negative influence on NPL, but GDP growth has a favorable impact. The paper concludes by asserting that the evidence supports similar findings from studies both in Bangladesh and elsewhere and it is noted that a combination of these macroeconomic and firm-specific factors explains only a small portion of the total variation in NPL.

Reliability analysis of simply supported beam using GRNN, ELM and GPR

  • Jagan, J;Samui, Pijush;Kim, Dookie
    • Structural Engineering and Mechanics
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    • v.71 no.6
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    • pp.739-749
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    • 2019
  • This article deals with the application of reliability analysis for determining the safety of simply supported beam under the uniformly distributed load. The uncertainties of the existing methods were taken into account and hence reliability analysis has been adopted. To accomplish this aim, Generalized Regression Neural Network (GRNN), Extreme Learning Machine (ELM) and Gaussian Process Regression (GPR) models are developed. Reliability analysis is the probabilistic style to determine the possibility of failure free operation of a structure. The application of probabilistic mathematics into the quantitative aspects of a structure and improve the qualitative aspects of a structure. In order to construct the GRNN, ELM and GPR models, the dataset contains Modulus of Elasticity (E), Load intensity (w) and performance function (${\delta}$) in which E and w are inputs and ${\delta}$ is the output. The achievement of the developed models was weighed by various statistical parameters; one among the most primitive parameter is Coefficient of Determination ($R^2$) which has 0.998 for training and 0.989 for testing. The GRNN outperforms the other ELM and GPR models. Other different statistical computations have been carried out, which speaks out the errors and prediction performance in order to justify the capability of the developed models.

Prediction of the compressive strength of self-compacting concrete using surrogate models

  • Asteris, Panagiotis G.;Ashrafian, Ali;Rezaie-Balf, Mohammad
    • Computers and Concrete
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    • v.24 no.2
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    • pp.137-150
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    • 2019
  • In this paper, surrogate models such as multivariate adaptive regression splines (MARS) and M5P model tree (M5P MT) methods have been investigated in order to propose a new formulation for the 28-days compressive strength of self-compacting concrete (SCC) incorporating metakaolin as a supplementary cementitious materials. A database comprising experimental data has been assembled from several published papers in the literature and the data have been used for training and testing. In particular, the data are arranged in a format of seven input parameters covering contents of cement, coarse aggregate to fine aggregate ratio, water, metakaolin, super plasticizer, largest maximum size and binder as well as one output parameter, which is the 28-days compressive strength. The efficiency of the proposed techniques has been demonstrated by means of certain statistical criteria. The findings have been compared to experimental results and their comparisons shows that the MARS and M5P MT approaches predict the compressive strength of SCC incorporating metakaolin with great precision. The performed sensitivity analysis to assign effective parameters on 28-days compressive strength indicates that cementitious binder content is the most effective variable in the mixture.

Data-Driven Modelling of Damage Prediction of Granite Using Acoustic Emission Parameters in Nuclear Waste Repository

  • Lee, Hang-Lo;Kim, Jin-Seop;Hong, Chang-Ho;Jeong, Ho-Young;Cho, Dong-Keun
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.19 no.1
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    • pp.75-85
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    • 2021
  • Evaluating the quantitative damage to rocks through acoustic emission (AE) has become a research focus. Most studies mainly used one or two AE parameters to evaluate the degree of damage, but several AE parameters have been rarely used. In this study, several data-driven models were employed to reflect the combined features of AE parameters. Through uniaxial compression tests, we obtained mechanical and AE-signal data for five granite specimens. The maximum amplitude, hits, counts, rise time, absolute energy, and initiation frequency expressed as the cumulative value were selected as input parameters. The result showed that gradient boosting (GB) was the best model among the support vector regression methods. When GB was applied to the testing data, the root-mean-square error and R between the predicted and actual values were 0.96 and 0.077, respectively. A parameter analysis was performed to capture the parameter significance. The result showed that cumulative absolute energy was the main parameter for damage prediction. Thus, AE has practical applicability in predicting rock damage without conducting mechanical tests. Based on the results, this study will be useful for monitoring the near-field rock mass of nuclear waste repository.

The Impact of Investments on Economic Growth: Evidence from Vietnam

  • NGUYEN, Khang The;NGUYEN, Hung Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.345-353
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    • 2021
  • The impact of investment on economic growth has been studied by many authors around the world with different times and research methods. Therefore, there are conflicting opinions about the impact of investment on economic growth. To contribute empirical evidence, the objective of this study is to assess the impact of investment sources such as public investment, private investment, and foreign direct investment on economic growth in Vietnam in the short-run and long-run. The data used for the study is panel data from 63 Vietnamese provinces between 2000 and 2020. The inquiry method is PMG (Pool Mean Group) regression for economic growth (GDP) after testing the stationarity of the variables that meet the PMG regression condition as suggested by Pesaran et al. (1996) and Hamuda et al. (2013). The results show that: factors such as labor and trade openness have a negative impact on economic growth in the short term. In the long run, public investment has a negative effect on economic growth, while domestic private investment, foreign direct investment, trade openness, and labor have positive effects on economic growth. Labour contributes the most, followed by trade openness, foreign direct investment, and domestic private investment. Finally, the study provides policy implications for the Government of Vietnam.

A Longitudinal Analysis of the Association between Transition into Marriage and Life Satisfaction and Childhood Parental Divorce as a Moderator (결혼과 삶의 만족도의 관계에 대한 종단분석 및 아동기 부모 이혼의 조절효과)

  • Lee, Yoonjoo
    • Human Ecology Research
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    • v.59 no.1
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    • pp.113-125
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    • 2021
  • Previous research on the association between marriage and life satisfaction is limited due to the lack of attempts to investigate the time profiles of life satisfaction around marriage. This study addresses unresolved questions about the positive association between marriage and life satisfaction as well as tests if it is moderated by childhood parental divorce. Using 14 waves of the Korean Welfare Panel Study(N=3,890 individuals or 25,338 person-year observations), the author first used an ordinary least squares model with clustered standard errors and found that married people reported higher life satisfaction before marriage, compared to people who remained single during the survey. This result supports a social selection perspective. Next, the author used a fixed effects regression model and found that the transition into marriage was associated with an initial rise and subsequent decline in life satisfaction. Life satisfaction increased after reaching its lowest level in the third year of marriage. Life satisfaction after the transition into marriage was significantly higher than that observed three or more years prior to marriage. The result supports a social causation perspective. Such changing patterns were not moderated by parental divorce during childhood. This study advances the current literature on marriage and life satisfaction by using a nationally representative longitudinal data set as well as by testing social selection and causation perspectives.

Global Fast Food Brands: The Role of Consumer Ethnocentrism in Frontier Markets

  • MUKUCHA, Paul;JARAVAZA, Divaries Cosmas
    • The Journal of Industrial Distribution & Business
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    • v.12 no.6
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    • pp.7-21
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    • 2021
  • Purpose: Modern globalization and Western markets saturation has catalyzed the growth of culinary globalization into developing countries. The question was whether fast food consumers in frontier markets of Sub-Saharan Africa (Zimbabwe), either upholds national gastronomic tendencies in terms of consumer ethnocentrism and buy local or they adopt global fast food brands. Demographic consumer profiles were also analyzed as antecedents of consumer ethnocentrism. Research design, data and methodology: A sample size of 400 fast food-adult consumers was surveyed in the City of Harare. Data was captured on SPSS and Analysis of Moment Structure (AMOS). Hypothesis testing was done using sample t test (H1), logistic regression (H2) and multiple regression (H3, 4, 5) analysis. Results: Consumer ethnocentrism in Zimbabwe was marginally above average and no statistically significant relationship between the levels of consumer ethnocentrism and adoption of foreign fast food brands was noted. Age had an inverse relationship; income had a positive association whilst gender had no statistical significance with consumer ethnocentrism. Conclusions: Despite the Zimbabwean consumers being marginally ethnocentric, international restaurateurs should invest in the Zimbabwean fast food market since their nature of being foreign has got an exotic appeal to the Zimbabwean consumers thereby enhancing their likelihood of success.

A Prediction of Engineering Properties of Ulsan Sedimentary Rocks with Schmidt Hammer Rebound Number (Schmidt hammer 반발지수로 울산지역 퇴적암의 공학적 특성을 추정하기 위한 연구)

  • Min, Tuk-Ki;Moon, Jong-Kyu
    • Journal of the Korean Geotechnical Society
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    • v.22 no.10
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    • pp.139-150
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    • 2006
  • A study has been made of the Schmidt hammer rebound test for the estimation of engineering and physical characteristics of sedimentary rocks. As there is no universal formular for the estimation of rock strength due to geological conditions, in this study only sedimentary rocks are adopted to testing. The aim of study is to make the information more meaningful and useful for engineers and contractors by providing rapid, cheap and easy method. The obtained parameters were correlated and regression equations were established among Schmidt hammer rebound number, uniaxial compressive strength, tangent Young's modulus, indirect tensile stress, water absorption and porosity of rocks with high coefficients of correlation with each other.