• 한국유기농업학회지
• /
• 제29권4호
• /
• pp.471-484
• /
• 2021

The characteristics of poverty can be comprehensively revealed from the two angles of income and multidimensional. This paper compares China's rural income poverty measure with multidimensional poverty index using data from China Family Panel Studies (CFPS) by focusing on the static and dynamic disparities, and analyzes the factors influencing poverty through the Logit model. The results show that there exists a substantial mismatch in who is deemed poor, 60 percent of multidimensional poverty households are not considered poor in terms of income poverty, and 70 percent of income poverty households are not considered poor in terms of multidimensional poverty; There is a high level of disparity between the dynamics of the two measures of poverty. Among those who rose in the income dimension, only about 7 percent also rose in the multidimensional measure from 2016 to 2018.

• 경영과학
• /
• 제34권2호
• /
• pp.57-66
• /
• 2017

The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies. The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.

• 아동학회지
• /
• 제21권2호
• /
• pp.99-118
• /
• 2000

This study investigated the self-concepts of Korean students based on Marsh and Shavelson's(1985) multidimensional hierarchical model. Reduced forms of the Self-Description Questionnaire(SDQ)-I and -II were administered to 308 5th and 6th grade students and 718 7th to 9th grade students. Results of 2 factor analyses indicated that sub-scales 9 and 11 were well established for SDQ-I and -II, respectively, partly confirming the multidimensionality of self-concept. The factors involving distinctions between academic and non-academic higher-order factors and between the academic/math and the academic/verbal factors were not so differentiated nor hierarchically arranged as proposed by the model. These differences may be attributed to the heavy influence of the academic self-concept on the other sub-factors. A Locality ${\times}$ Sex ${\times}$ Grade ANOVA showed main effects of locality favoring urban areas and of sex favoring boys.

• 한국건축시공학회지
• /
• 제11권2호
• /
• pp.100-107
• /
• 2011

건설공사의 공사기간은 건설프로젝트의 성공적인 완수를 위하여 중요한 부분을 차지하기 때문에 공사기간에 영향을 미치는 요인들을 체계적으로 관리하는 것이 필요하다. 최근에는 건설 제도적 변화로 건설공사의 공사기간에 대한 관심이 증대되고 있다. 그러나 건설 프로젝트의 공사기간에 미치는 영향요인은 매우 다양하며, 각 요인들 중 어떤 요인이 어느 정도 작업의 생산성에 영향을 미치는지에 대한 데이터의 체계적인 활용이 부족하다. 또한 특정 프로젝트, 특정 작업, 특정 협력업체 등에 영향을 미치는 요인이 무엇인지 또는 전체 프로젝트에 공통적으로 영향을 미치는 요인이 무엇인지를 인식하는 것조차 어려운 경우가 많다. 그러나 데이터 웨어하우스 기술의 다차원 분석을 활용함으로써 다양한 각도에서의 공사기간 영향요인이 미치는 생산성을 파악할 수 있다. 이에 본 연구는 건설공사에서 발생하는 다양한 영향요인에 따른 작업 생산성 데이터를 다차원적으로 분석하고 의사결정에 활용할 수 있는 데이터 마이닝 기술을 적용하여 기존 생산성 데이터들을 효과적으로 활용하는 방법을 제시한다.

• 한국융합학회논문지
• /
• 제12권4호
• /
• pp.293-302
• /
• 2021

본 연구는 산재근로자의 임상요인과 개인 미술치료의 효과를 알아보기 위한 연구이다. 2017년 1월부터 2019년 7월까지 산재근로자를 10명을 연구대상으로 11회기의 미술치료를 개별적으로 시행하였고 다차원심리검사 S형을 사용하여 개인 미술치료 사전. 사후 임상요인의 변화를 살펴보았다. 분석결과 5개의 임상요인의 평균이 2.80에서 4.20까지 분포하여 산재근로자의 심리적 고통이 상당함을 알 수 있었다. 이변량 상관관계분석 결과 모든 요인들 간의 통계적인 범위내에서 유의한 상관관계가 존재하는 것을 확인할 수 있었다. 미술치료 시행 전후의 다차원심리검사 결과의 차이를 파악하기 위하여 wilconxon의 부호순위검정을 사용하여 분석한 결과 5개의 하위요인 중 우울, 분노와 불안의 Z값이 -2.405(p=.016), -2.148(p=.032), -2.102(p=.036)로 나타나 개인 미술치료 수행 후 연구참여자의 우울, 분노와 불안이 다소 완화되었음을 확인할 수 있었다.

• Human Ecology Research
• /
• 제56권2호
• /
• pp.175-193
• /
• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Journal of Electrochemical Science and Technology
• /
• 제9권4호
• /
• pp.251-259
• /
• 2018

In general, the charge storage characteristics and overall performance of electrochemical energy devices (such as lithiumion batteries and supercapacitors) significantly depends on the structural and geometrical factors of the electrodes' active materials. The most widely used active materials of electrochemical energy storage devices are based on carbons of various forms. Each carbon type has drawbacks and advantages when used as the electrode material. Studies have been recently carried out to combine different types of carbons, in particular nanostructured carbons, in order to overcome the structure-originated limitations and thus enhance the overall electrochemical performances. In this feature article, we report the recent progress on the development of this novel class of materials (multidimensional nanocarbons), and their applications for supercapacitors. Multidimensional nanocarbons include graphenes/carbon nanotubes (CNTs), CNTs/carbon films, CNTs/fullerenes, and ternary carbon nanostructures. Various applications using these multidimensional nanocarbons have been proposed and demonstrated in the literature. Owing to the recent extensive studies on electrochemical energy storage devices and considering that carbons are their most fundamental electrode materials, the number of reports on nanocarbons employed as electrodes of the electrochemical energy storage devices is rapidly increasing. Recently, numerous multidimensional nanocarbons have been designed, prepared, and utilized as electrodes of electrochemical capacitors or supercapacitors, which are considered next-generation energy devices owing to their unique merits compared to the conventional structures. In this review, we summarize the basic motivations, preparation methods, and resultant supercapacitor performances of each class of multidimensional nanocarbons published in the literature, focusing on recent reports.

• 한국의류학회지
• /
• 제26권1호
• /
• pp.83-94
• /
• 2002

This study was intended to identify fabric impact on decision-making process for clothing purchase, to determine evaluation factors of clothing, and to analyze consumer's preference for fabric on clothing purchase. 396 questionnaires distributed to college students were analyzed by descriptive statistics, oneway ANOVA, correlation, factor analysis and multidimensional scaling. The results are as follows; (1) Fabric impacted on the pre-purchase evaluation and the post-purchase process. (2) 4 factors - physical properties, outer-consciousness, self-satisfaction, and appropriateness- were determined as evaluation factors. Though fabric was included in the physical properties, fabric presented high correlations with other evaluative elements. (3) The most preferred fabric was being composed of natural fiber in fiber contents and having softness in sensation. As a result of multidimensional scaling, 2 dimensions of fabric sensation were developed as 'soft-hard'and 'thin-thick'.

• 수산해양교육연구
• /
• 제24권3호
• /
• pp.436-445
• /
• 2012

The study aims to analyze of factors influencing on the mentoring participation of college student for low-income children using Cooper's multiple lense. The multidimensional policy analysis model is composed of the normative dimension, structural dimension, constructive dimension, technological dimension. The results of the research are as follows. First, the education difference solution shows the meaningful positive relationship in the category of normative dimension. Second, the budget and support setup shows the meaningful positive relationship in the category of technological dimension. But other factors do not show the meaningful influence.

• 인터넷정보학회논문지
• /
• 제20권1호
• /
• pp.39-46
• /
• 2019

This paper investigates the importance of various environmental factors that have a strong influence on strawberry yields grown in greenhouse using the pattern recognition methods. The environmental factors influencing the production of strawberries were six factors such as average inside temperature, average inside humidity, average $CO_2$ level, average soil temperature, cumulative solar radiation, and average illumination. The results of analyzing the observed data using Dynamic Time Warping (DTW) showed that the most significant factor influencing the strawberry production was average soil temperature, average inside humidity, and cumulative solar radiation. Second, the results of analyzing the observed data using Multidimensional Scaling (MDS) showed that the most influential factors on the strawberry yields, such as average $CO_2$ level, average inside humidity, and average illumination were differently given for each farms. However, these results are based on the distance in 3D space and can be deduced from the fact that there is not a large difference between these distances. Therefore, in order to increase the harvest of strawberries cultivated in the farms, it is necessary to manage the environmental factors such as thoroughly controlling the humidity and maintaining the concentration of $CO_2$ constantly by ventilation of the greenhouse.