• 한국산림과학회지
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• 제99권2호
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• pp.204-212
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• 2010

This study was performed in 22 unthinned Larix olgensis plantations in northeast China. Data were collected on 95 sample trees of different canopy positions and the diameter at breast height ($d_{1.3}$) ranged from 5.7 cm to 40.2 cm. The individual tree models for the prediction of vertical distribution of live crown, branch and needle biomass were built. Our study showed that the crown, branch and needle biomass distributions were most in the location of 60% crown length. These results were also parallel to previous crown studies. The cumulative relative biomass of live crown, branch and needle were fitted by the sigmoid shape curve and the fitting results were quite well. Meanwhile, we developed the crown ratio and width models. Tree height was the most important predictor for crown ratio model. A negative competition factor, ccf and bas which reflected the effect of suppression on a tree, reduced the crown ratio estimates. The height-diameter ratio was a significant predictor. The higher the height-diameter ratio, the higher crown ratio is. Diameter at breast height is the strongest predictor in crown width model. The models can be used for the planning of harvesting operations, for the selection of feasible harvesting methods, and for the estimation of nutrient removals of different harvesting practices.

• 응용통계연구
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• 제27권5호
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• pp.705-715
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• 2014

대사증후군은 뇌졸중이나 심혈관 질환 등 다양한 합병증으로 발전될 수 있어 그 심각성이 커지고 있으며, 우리나라의 유병률이 증가하는 추세를 보이고 있어 연구의 필요성이 강조되고 있다. 본 연구는 베이지안 네트워크를 활용하여 대사증후군과 그 진단기준이 되는 5가지 이상 징후인 복부비만, 고중성지방혈증, 고혈압, 저 HDL 콜레스테롤혈증, 고혈당의 관계에 대한 모델을 구축 하고자 하였다. 추가적으로 대사증후군의 가장 위험한 진단조합을 선별하였고, 개개인의 특성에 따라 대사증후군의 특징도 다르게 나타난다는 것을 확인하였다. 사용된 데이터는 제5기 국민건강영양조사 중 2010년 자료로써 건강설문조사의 모든 문항에 응답한 성인 4,489명의 데이터이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.173-183
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• 2020

This study has four objectives: (1) Identifying factors that affect customer satisfaction on online service quality of Tiki.vn, (2) Measuring the level of impact of the factors, (3) Testing the difference in satisfaction among groups of customers with different characteristics in terms of gender, age, income, academic level, and occupation, and (4) Proposing some managerial implications to improve the quality of online services by interviewing directly and online 200 individual customers who have shopped at Tiki.vn E-commerce platform for at least the last six months, using the convenient sampling method. This study analyzes the reliability of the scale through the Cronbach's alpha coefficient, Exploratory factor analysis, and Linear regression analysis. The findings identified four factors that influence positively customer satisfaction regarding the quality of online services in Tiki.vn E-commerce platform in the order of descending strength: (1) Trust, (2) Customer service, (3) Web design and (4) Safety. In addition, the results show no difference in customer satisfaction according to different academic levels, but in terms of occupation and income, gender, and age. The results show that the factors influencing most customer satisfaction are Reliability and Customer Service. Some managerial implications are then proposed to improve the quality of online shopping services at Tiki.vn.

• KIEAE Journal
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• 제12권1호
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• pp.45-53
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• 2012

Our society confronts a new social demand to protect the environmental equity of the people, and the green open space that is a representative public property which takes a very important role for the residents in less privileged urbane area in terms of providing amenity without requiring individual expenses additionally. This study aims to identify the current status and problems based on the environmental experiences of the actual residents, excluding the simple physical status, in relation with supplying public property of green open space, and the study put focus on the old downtown area of Jeonju-si which is a test-bed of urbane regeneration planned by the government. Residents in less privileged area evaluate the importance of green environment of park very highly as a factor to enhance their quality of life, but as they do not have well-established environmental infrastructure to back up their needs practically, they face difficulties to use such environment and show low level of satisfaction. In particular, as such characteristics appear remarkably among the least privileged urbane people in the less privileged urbane area, their dependence and expectation upon the environment of green open space is very apparent and, therefore, it is urgently needed to improve their environment for public green park area for the less privileged urbane people.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.85-93
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• 2020

In peer-to-peer (P2P) loan markets, as most lenders are unskilled and inexperienced ordinary individuals, it is important to know the characteristics of borrowers that significantly impact their repayment performance. This study investigates the effects and importance of borrowers' past repayment performance track record within the platform to identify its predictive power. To this end, I analyze the detailed loan repayment data from two leading P2P lending platforms in Korea using a Cox proportional hazard, multiple linear regression, and logit models. Furthermore, the predictive power of the factors proxied by borrowers' track records are evaluated through the receiver operating characteristic (ROC) curves. As a result, it is found that the borrowers' past track record within the platform have the most important impact on the repayment performance of their current loans. In addition, this study also reveals that the borrowers' track record is much more predictive of their repayment performance than any other factor. The findings of this study emphasize that individual lenders must take into account the quality of borrowers' past transaction history when making a funding decision, and that platform operators should actively share the borrowers' past records within the markets with lenders.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2008년도 추계학술대회
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• pp.122-125
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• 2008

Even though many researchers studied the foot shape and dimension, those applications lacked. The purpose of this study was to develop insole pattern of elderly women according to footprint. Discrepancy in the classification criteria among of foot parameters complicates attempts for elderly women classification of foot sole. To develop a footprint-based classification technique for the classification of foot sole types by allowing simultaneous use of several parameters. Foot sole data from static standing footprints were recorded from 48 elderly women. The factors of footprint shape were determined. Cluster analysis was applied to obtain individual foot sole classifications. The classification model of foot insole is proposed for a classification of footprint in elderly women. An application of ANOVA, Duncan's analysis, frequency analysis, factor analysis, and cluster analysis have been made to footprint data. In order to make clear foot sole characteristics, the factors of footprint shape have been discussed. The results are as follows. The factors of footprint shape have been classified into four types: foot length, sole slope, outside sole slope, and foot width. The types of foot sole shape have been classified into four types: longed, shortened, outside sloped, and toes sloped.

• 한국조리학회지
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• 제14권2호
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• pp.181-192
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• 2008

The objective for this study was to clarify the relationships between perceived value, customer satisfaction, switching intention, and loyalty for foodservice. A total of 258 questionnaires were completed. Structural equation model was used to measure the causal effect. Results of the study demonstrated that the confirmatory factor analysis result for the data also indicated good model fit. The unrestricted model yielded a significantly better fit to the data than the restricted model. The influences of perceived value on customer satisfaction, switching intention and loyalty were statistically significant. The influences of customer satisfaction on switching intention and loyalty were statistically significant. Moreover, customer satisfaction played a mediating role in the relationship between perceived value and switching intention. Customer satisfaction also played a mediating role in the relationship between perceived value and loyalty. The obvious implication is the need for further consideration of similar composite models. The possible moderating effects of such individual characteristics as risk aversion, involvement, and experience/expertise, or switching cost might be relevant pursuits in future research. Finally, this research illuminates the need for additional research that considers the effect of perceived value and satisfaction on customers' decision-making and corporate profits.

• Journal of Electrical Engineering and information Science
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• 제2권3호
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• pp.105-112
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• 1997

The performance of a shared memory multiprocessor system is very sensitive to process scheduling. w can enhance the performance of a whole system as well as of an individual process by taking the multiprocessor characteristics into account in the design of the process scheduler. In this paper, we proposed a general purpose scheduler for a shared memory multiprocessor, called the Two-Level Multi-Scan (TLMS) process scheduler, that considers the processor affinity loosely and decreases the interference among multiple processors greatly. The TLMS scheduler is composed of a local scheduler at each processor and a semi-global scheduler that balances the load among processors. In particular, the semi-global scheduler tries to minimize priority inversion, which is an important factor of the system performance. The TLMS scheduler also tries to reduce the number of resources to be shared and improves the processor utilization. to meet these requirements, th semi-global scheduler interacts with the operation of the local scheduler when a need arises, thus the name is loose processor-affinity. We also show that the proposed scheduling technique can be extended for other types of resources making it a general purpose resource management queue.

• 한국컴퓨터정보학회논문지
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• 제22권10호
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• pp.145-150
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• 2017

This study aims to analyze panel data using OECD Health data of 34 years to examine how significant the inequality of income is to the inequality of health. The data was from OECD's pooled Health data of 32 countries from 1980 to 2013. The process of determining analysis model was as follows; First, through the descriptive statistics, we examined averages and standard deviation of variables. Second, Lagrange multiplier test has done. Third, through the F-test, we compared Least squares method and Fixed effect model. Lastly, by Hausman test, we determined proper model and examined effective factor using the model. As a result, rather than Pooled OLS Model, Fixed Effect Model was shown as effective in order to consider the characteristics of individual in the panel. The results are as follows: First, as relative poverty rate(${\beta}=-19.264$, p<.01) grows, people's life expectancy decreases. Second, as the rate of smoking(${\beta}=-.125$, p<.05) and the rate of unemployment (${\beta}=-.081$, p<.01) grows, people's life expectancy decreases. Third, as health expenditure(${\beta}=.414$, p<.01) shares more amount of GDP and as the number of hospital beds(${\beta}=-.190$, p<.05) grows, people's life expectancy increases.

• 대한안전경영과학회지
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• 제17권4호
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• pp.287-295
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• 2015

modern logistics are required to carry out functions such as timely adjustment and swift adaptation to changing patterns, and this leads to the emphasis on forming logistics parks. Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. There are many existing studies on the selection of locations of logistics parks but work on the factors related to location selection by industry seem lacking. As such, in the course of this study we have used preceeding studies to draft a questionnaire on which selection factors affect the selection of logistics park location in different industries and conducted empirical analysis of the questionnaire results to uncover the factors that affect the selection of the locations of logistics parks in different industries.