• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.2
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• pp.99-112
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• 2008

The purpose of this study was to analyze on changes of ready constructed record(RCR) in landscape construction industry for 10 years from 1997 to 2006. For the study, according to the classification system of Korea construction industry, landscape construction industry were classified into landscape constructor as a general constructor, landscape planting constructor and landscape facilities constructor as special constructors. The results are as follows: 1. The RCR in landscape construction industry have increased for 10 years higher than other construction industry. Concretely the RCR ratio of landscape constructor has increased 0.9% in 1997 to 1.9% in 2006, the RCR ratio of landscape planting constructor 1.3% to 2.5%, and the RCR ratio of landscape facilities constructor 0.5% to 1.5%. Futhermore this increasing trend has been strengthened during the last a few years. 2. Differently from landscape constructor, the subcontract ratio of landscape planting constructor and landscape facilities constructor were higher, especially landscape facilities constructor was highest amount for 71.1% in the subcontract ratio. 3. The RCR of landscape construction industry in the metropolitan area including Seoul, Kyunggi, was higher than other region's, and the ratio of RCR of landscape constructor in this area was 53.5%, landscape planting constructor's 58.2%, and landscape facilities constructor 75.0%. 4. The yearly RCR per company and the RCR by project of landscape constructor and landscape planting constructor were stagnant. However, landscape facilities constructor's RCR showed an upward trend as years go by. This study was focused on the RCR of landscape construction industry, further study on the factors to affect the RCR of landscape construction industry and the RCR by project types is required in the near future.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.219-229
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• 2017

Forest road is an essential infrastructure for forest management such as the composition and management of forest resources, timber and forest byproduct production & transportation. It has recently been utilized forest recreation and forest sports as well as also forest pest control, forest fire prevention and evolution. When you build a forest road, the economic function in the forest is activated, so that it can result in the ripple effect of induced employment, value-added creation and production inducement. The purpose of this study is to analyze the impact caused by forest road construction occurring as the overall economy. For analysis it was applied to inter industry analysis method that is a method for analyzing the quantitative cross-correlation. The data were used in the Input-Output Tables In 2014, the Bank of Korea. When you build a forest road, economic effect due to the construction of the forest road is generated and economic effects are also generated due to the increase in the production of forest products after the construction of the forest road. Therefore, we will analyze the economic impact of the two effects. The estimated economic value of forest products, which is the economic effect of forest product cultivation, was calculated through some assumptions and the economic ripple effect was analyzed. The forest road construction sector is defined as land clearing and reclamation, and irrigation project construction and the forestry forest products sector is defined as the sum of raw timber, edible forest products and misc. forest products. In total, 32 sectors were classified, and except for the two sectors defined as forest road construction and forestry forest products, the remaining sectors were integrated according to the classification system of 30 integrated classifications of the Bank of Korea. As a result, the production inducement coefficient for forest construction was analyzed to be 2.767 and the production inducement coefficient for forestry forest products was analyzed to be 1.565. This means that 2,767 times the production of forest road construction investment is induced in the whole industry and the production of 1.562 times the amount of forestry forest products is caused by the whole industry as the production of forestry forest products increases. The value added inducement coefficient for forest road construction was 0.977 and the value added inducement coefficient for forestry forest products was 0.985. Forest road are essential infrastructure for forestry development and should be continuously invested because they are essential elements of timber production and forest byproduct production with functions such as forest management, forest recreation, forest sports, and town connection.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2009.10a
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• pp.289-292
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• 2009

The line array roll set process, as one of many kinds of incremental forming processes, is a continuous process in which a flat metal plate is formed into a singly or doubly curved plate through successive passes of forming rolls. It was found that the curvature level of the formed plates in the previous study was well over the curvature required in shipyards. This fact shows that the LARS method has considerable potential for shipbuilding applications. In a shipbuilding yard, hull forming is an important fabrication process in which flat plates are deformed into singly or doubly curved plates. The major purpose of the present study is to estimate experimentally the general applicability of the line array roll set process for the manufacture of ship hull plates. In this study, the target shapes are selected through investigation of the shape classification of ship hull plates that comprise a certain vessel. Forming processes for twisted shapes are analyzed with the finite element method (FEM). Finally, the results of experimental work for two types of target shapes are presented.

• Journal of the Ergonomics Society of Korea
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• v.25 no.2
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• pp.119-124
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• 2006

The present study evaluated the accuracy of MSD-related work criterion of Korea Ministry of Labor by using ergonomic workload evaluation methods. 1,948 manufacturing works in automobile industry were divided into 1,286 MSD-related risky works and 662 risk-free ones by using RULA, ANSI Z-365 and perceived discomfort evaluation. Then, the two types of works were evaluated by Labor Ministry work criterion to analyze the classification accuracy of the work criterion. The work criterion of Korea Labor Ministry had low hit and false alarm ratio(20 and 11%) and high miss and correct rejection ratio(80 and 89%), and the odd ratios of hit and correct rejection were 0.2 and 8.3, respectively. It can be concluded that the work criterion of Korea Labor Ministry is a conservative evaluation method which tends to evaluate a target work as risk-free.

• Korean Journal of Agricultural Science
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• v.39 no.1
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• pp.111-116
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• 2012

Nondestructive evaluation of seed viability is one of the highly demanding technologies for seed production industry. Conventional seed sorting technologies, such as tetrazolium and standard germination test are destructive, time consuming, and labor intensive methods. Near infrared spectroscopy technique has shown good potential for nondestructive quality measurements for food and agricultural products. In this study, FT-NIR spectroscopy was used to classify normal and artificially aged lettuce seeds. The spectra with the range of 1100~2500 nm were scanned for lettuce seeds and analyzed using the principal component analysis(PCA) method. To classify viable seeds from nonviable seeds, a calibration modeling set was developed with a partial least square(PLS) method. The calibration model developed from PLS resulted in 98% classification accuracy with the Savitzky-Golay $1^{st}$ derivative preprocessing method. The prediction accuracy for the test data set was 93% with the MSC(Multiplicative Scatter Correction) preprocessing method. The results show that FT-NIR has good potential for discriminating non-viable lettuce seeds from viable ones.

• Journal of the Korean Data and Information Science Society
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• v.24 no.5
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• pp.989-998
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• 2013

We cannot analyze big data, which attracts recent attentions in industry and academy, by batch processing algorithms developed in data mining because big data, by definition, cannot be uploaded and processed in the memory of a single system. So an imminent issue is to develop various leaning algorithms so that they can be applied to big data. In this paper, we review various algorithms for support vector machines in the literature. Particularly, we introduce online type and parallel processing algorithms that are expected to be useful in big data classifications and compare the strengths, the weaknesses and the performances of those algorithms through simulations for linear classification.

• Fashion & Textile Research Journal
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• v.14 no.5
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• pp.778-790
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• 2012

This research categorizes and analyzes different online fashion store studies conducted over the past 10 years based on study type. The results are as follows. First, it was found that 116 studies out of 118 studies on online fashion stores conducted from 2000 to 2012 were based on PC web. Second, the studies on PC web-based fashion stores were reclassified into 9 different categories based on their topics: purchase behavior, word-of-mouth behavior, website, and product information presentation as well as products for sale, return behavior, customer service, system, present condition, marketing strategy, and promotions. However, mobile web-based studies were categorized into 2 categories of introduction of the fashion stores and purchase behavior. Third, we reclassified the studies chronologically to observe studies conducted at different times. In the early phase (in addition to studies on purchase behavior) studies on present condition, marketing strategy, and website constituted the majority of studies conducted because the field research was just starting to grow; however, studies conducted in the latter phase showed new patterns of study, such as word-of-mouth effect, and return behavior. Future studies conducted on competitive PC web-based fashion stores require a more specific classification of studies (according to their purpose) to develop an effective marketing strategy.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.132-132
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• 2015

Virtual metrology (VM) model based on plasma information (PI) parameter for C4F8 plasma-assisted oxide etching processes is developed to predict and monitor the process results such as an etching rate with improved performance. To apply fault detection and classification (FDC) or advanced process control (APC) models on to the real mass production lines efficiently, high performance VM model is certainly required and principal component regression (PCR) is preferred technique for VM modeling despite this method requires many number of data set to obtain statistically guaranteed accuracy. In this study, as an effective method to include the 'good information' representing parameter into the VM model, PI parameters are introduced and applied for the etch rate prediction. By the adoption of PI parameters of b-, q-factors and surface passivation parameters as PCs into the PCR based VM model, information about the reactions in the plasma volume, surface, and sheath regions can be efficiently included into the VM model; thus, the performance of VM is secured even for insufficient data set provided cases. For mass production data of 350 wafers, developed PI based VM (PI-VM) model was satisfied required prediction accuracy of industry in C4F8 plasma-assisted oxide etching process.

• Fashion & Textile Research Journal
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• v.2 no.4
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• pp.300-307
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• 2000

The purpose of this study was to classify and analyze the body type of obese boys who are school year for 9 to 11 years. A total of 49 body measurements were collected for this study including both direct and indirect measurements (33 variables from the direct anthropometric data, 16 variables from the indirect anthropometric data). Data from anthropometric measurement were analyzed using descriptive, factor and cluster analysis. The obese boys investigated in this project were in the category of average height 146.31 cm, weight 52.17 kg. The values for the study were compared to values from the National Anthropometric Survey of Korea. As the result of factor analysis for the classification of body type, 6 factors were extracted from all items. The first was transverse size of upper body, also, the second was its longitudinal size. The third was thicknesses of front and back at side views. The fourth was shoulder shape. The fifth was upper body angle factor. The sixth was upper body length. The body form was classified with cluster analysis, using factor score. The shape of the body was classified in 3 types.

• Fashion & Textile Research Journal
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• v.12 no.6
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• pp.812-820
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• 2010

The objectives of this study were to classify the head shapes of Korean men and to suggest computer tomography as a new body measurement method. The 23 head measurement items of 760 men, aged more than 18 in Sizekorea 2004 database were used to analyze, measured by using statistical methods. Factor analysis, cluster analysis and duncan test were performed using these data. Through factor analysis, 5 factors were extracted upon factor scores and those factors comprised 70.91% for the total variances. The head and face shapes were categorized as 5 types-triangle, round, oval, long, rectangle. We decided for the type 1(triangle) to standard head shape since this type was the most observed. 21 participants were measured using computed tomography(CT). The measured data of skin and skeleton and the standard head shapes were illustrated.