• Journal of the Korean housing association
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• v.27 no.5
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• pp.11-23
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• 2016

The purpose of this study is to establish the determinants of satisfaction with the results of housing regeneration projects among their elderly residents, and to suggest the political implications. The survey included questionnaires about satisfaction levels with the projects' physical and non-physical maintenance factors. The results were statistically analyzed by correlation analysis and PLS regression analysis. As a result of the study, firstly, the physical factors rather than non-physical factors (such as home improvement and management support, community support, the economic foundations and professional support) were found to have a large effect on elderly residents' satisfaction. Secondly, the non-physical factors, such as economic factors were analyzed among senior job offers that are both highly influential in the two regions Yonnam-dong and Bukgajwa-dong. Finally, electrical maintenance work, tree planting, a "Green" parking plan, or refuse the effect of visually larger landscape improvement, such as bins installed, maintenance of local factors that contribute to the greenery of the area were judged to be important.

• Journal of Biosystems Engineering
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• v.23 no.1
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• pp.49-56
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• 1998

The objectives of this study were to develop models to predict the contents of moisture and protein of single kernel of brown rice based on visible/NIR (near-infrared) spectroscopic technique. The reflectance spectra of rice were obtained in the range of the wavelength 400 to 2,500 nm with 2 nm intervals. Multiple linear regression(MLR) and partial least squares (PLS) were used to develop the models. The MLR model using the first derivative spectra(10 nm of gap) with Standard Normal Variate and Detrending (SNV and Drt.) preprocessing showed the best results to predict moisture content of the sin린e kernel brown rice. To predict the protein content of a single kernel of brown ricer the PLS model used the raw spectra with multiplicative scatter correction(MSC) preprocessing over the wavelength of 1,100~1,500 nm.

• Journal of the Korean housing association
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• v.21 no.4
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• pp.121-128
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• 2010

Many business enterprises in domestic housing industry are focusing on the development of environment friendly apartment complex to strengthen the competitiveness by upgrading their company's image through differentiation of the qualities and satisfying the customer's needs. Many apartment complex have achieved temporary or real certification by green building certification system, but there weren't enough studies on how much residents are satisfied by their certified complex. In this study, we want to clarify the factors of resident's satisfaction level in certified environment friendly complex by comparing the social and economical characteristics of resident. For this study, we chose and compare 4 environment friendly apartment complex considered to be built by the best environmental way in metropolitan area, and 4 other apartment complex which are also considered to be similar in terms of the condition of location and period of stay.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.469-481
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• 2012

The demand for small-sized housing has been increasing due to the recession of real-estate price and the increase of small-sized households. Especially, the demand for affordable housing has been increasing since the style of housing and the location fits the lifestyle of small-sized household. In addition, many investors have been buying it because it has advertised as an investment property holding high-return ratio. However, an empirical analysis about the selling price and the return ratio has not been done yet. Therefore, the purpose of the research is having the empirical analysis based on the selling price and return ration by examining the affordable housing in Seoul. The urban-life housing more than 50 generations of the Seoul was irradiated for the analysis. And the linear regression analysis and PLS(Partial Least Square Regression) analysis was used for the empirical analysis. The result of analysis, based on the linear regression analysis, showed that factors including neighboring housing price and subway catchment area have a significant effect to the determinant factors of housing price. The analysis for return ratio showed neighboring housing price, subway catchment area and amenities affects the ratio. Especially, the fault of using small sample was covered by using the partial least square regression in this research.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.217-224
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• 2016

The purpose of this study is verifying the effect of transformational leadership on job satisfaction and to explore the moderating roles of job autonomy. This study developed hypotheses and tested them using hierarchical regression analyses. The data analysis was done by SAS Ver 9.1 and Smart PLS Ver 3.0. The test was conducted by employees working at large, small-medium company and public enterprise. The results indicate that the positive transformational leadership and job satisfaction were statistically supported. And this study found that job autonomy moderating roles in the relationship between transformational leadership and job satisfaction. Based on the findings of the study, this study presented managerial implications and suggestions for future studies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.87-97
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• 2013

This study tried to explore the quantitative travel heterogeneity between elderly and non elderly people, focusing on urban and rural areas in south Chungcheong province. For the analysis, a PLS(Partial least square) model is applied with economic and traffic environment characteristics of the urban and rural areas. The characteristics of elderly and non elderly people in the urban and rural areas are derived from the 2011 person trip survey. As a result, the study found out that the key factors affect on elderly people in the urban and rural areas are bus operation interval, number of bus operation routes, number of household member, and a monthly average income of household. In case of non elderly people, areas economic factors such as GRDP, the rate of economic activity, and employment status as well as those of elderly people. Meanwhile, female elderly people in rural area have more sensitivity compared to male elderly people and the gender heterogeneity is not revealed in non elderly people.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.3
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• pp.92-106
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• 2017

This paper examines the validity of issuing municipal bonds for land compensation of long-term unexecuted urban parks and greenbelts. Then it suggests that municipal bonds should be issued for compensation priority areas with high rising prices. By conducting correlation analysis and PLS(Partial Least Squares) regression for 32 long-term unexecuted urban parks and greenbelts, the factors were identified that affected 'rising prices of IAPLP(Individually Announced Public Land Price) after seven years'. According to the analysis results, Variable Importance in the Projection in PLS regression was higher in 'IAPLP of base year(1.919)' and 'Accumulated rising Rates of average IAPLP in the borough(1.176).' The implications of this study are as follows. In Seoul, the accumulated rising rates of average IAPLP over the past 12 years is higher than the accumulated interest rates for seven years of urban planning facility bonds, which means that IAPLP have risen more than the interest payments due to the issuance of municipal bonds. In addition, since the actual compensation is three times that of IAPLP, it is judged that the land price is actually much higher than the interest payments. This shows that issuing municipal bonds and preferentially compensating for areas like high rising land prices can increase the economic efficiency of the budget execution. Also, for economic efficiency of budget execution, it is necessary to propose an 'area with high IAPLP' or 'a part in the borough with high rising rate of average IAPLP,' which is expected to have a high rising land price as criteria for compensation priority areas. In the future, when issuing municipal bonds to compensate long-term unexecuted urban parks and greenbelts, variousresearch on financing for municipal bonds repayment should be conducted.

• Journal of Biosystems Engineering
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• v.22 no.3
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• pp.333-342
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• 1997

The objective of this research was to develop model equations for measuring rice milling ratio by using visible / HIR spectroscopy. Twelve kinds of brown rice(n = 149) were milled to obtain various milling ratio ranged from 86% to 94%. Visible/NIR spectra were collected with a spectrophotometer with sample transport module. The reflectance and transmission spectra were measured in the range of 400~2, 500nm and 600~1, 400nm, respectively, with 2 nm intervals. Multiple linear regression(MLR), Partial least square (PLS), and Artificial neural network(ANN) were used to develop models. Model developed with reflectance spectra showed better prediction results then those with transmission spectra. The MLR model with six-wavelength obtained from first derivative spectra gave to the best results for measuring the rice milling ratio(SEP = 0.535, , $r^2$ = 0.980). The PLS model(SEP = 0.604, $r^2$= 0.976) and ANN model(SEP = 0.566, $r^2$= 0.978) also can be used to determine the rice milling ratio effectively.

• Food Science and Preservation
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• v.12 no.6
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• pp.608-612
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• 2005

Fourier transform-near infrared (FT-NIR) spectroscopy is a simple, rapid, non-destructive technique which can be used to make quantitative analysis of chemical composition in grain. An interest in total dietary fiber (TDF) of grain such as rice has been increased due to its beneficial effects for health. Since measuring methods for TDF content were highly depending on experimental technique and time consumptions, the application of FT-NIR spectroscopy to determine TDF content in milled rice. Results of enzymatic-gravimetric method were $1.17-1.92\%$ Partial least square (PLS) regression on raw NIR spectra to predict TDF content was developed Accuracy of prediction model for TDF content was certified for regression coefficient (r), standard error of estimation (SEE) and standard error of prediction (SEP). The r, SEE and SEP were 0.9705, 0.0464, and 0.0604, respectively. The results indicated that FT-NIR techniques could be very useful in the food industry and rice processing complex for determination of TDF in milled rice on real time analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2495-2504
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• 2015

This study was performed in order to contributing the conflict factors which largely affects the efficient promotion of Urban Rehabilitation Project. then, it aims to induce conflict factors which affect the business period and business expense through PLS Regression Analysis. The data was build up from union members, tenants and merchants who are living in the completed urban rehabilitation area. In the case of 'Business period', it shows the priority on conflict factors in this order such as the 'Approval and Authorization for union establishment', 'Approval and Plan for business enforcement' and 'Interruption of interest group related to service business such as business delay'. In addition, In the case of 'Business expenses', it shows the priority on conflict factors in this order such as the 'Approval and Authorization for union establishment', 'Selling contract', 'Report of Demolition and Loss' and 'Plan and Authorization of Management disposition'.