• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1D
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• pp.61-69
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• 2012

The purpose of this study is to draw the development direction of subway adjacent area by distance through an analysis on influence factors of land value by urban spatial constitution. The method of this study is analyzing influence factors of land value by the distance of subway adjacent area by using regression analysis method with urban spatial constitution variables from advanced research and drew the difference and extent of land value influence factors by distance of subway adjacent area. The result of analyzed the influence factors of land value by distance to draw the purpose of this study, which is the direction of development by distance of subway adjacent area, the connected area has shown the development direction as high density development centrally on commercial and improvement of accessibility and decrepit status, the directly influence area shows as complexity with high density centrally on commercial and business and lastly, the in directly influence area has shown the development direction as complexity of residential and commercial, improvement of accessibility and decrepit status. This study has used land value as a dependent variable to verify the speculation of this study based on the contents, the results of the analyze and the critical points of precedent studies to draw the development direction of subway adjacent influence area by using autonomous variables from advanced research. Upon this, drew a conclusion of this study as analyze of influence factors of land value could be a reference material for development of subway adjacent area.

• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.139-150
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• 2009

Objective of Urban regeneration is a recovery of urban utilities through a physical, environmental, cultural, industrial and economic regeneration. The current paradigm of urban regeneration is not a simple redevelopment as physical redevelopment or improvement. This study is proposed that value system management applied the benefit management, value system, Quality Function deployment for a value conflict of urban regeneration. There is a reason to conflict value that value system is unstructured. Because this study is proposed to establish the process of value system, and applied this process to Se-woon 4th area urban regeneration project. This study is analyzed to divide value system of urban regeneration program into city level, district level, zone level in district. An analysis of value system obtained through '2020 urban master plan', 'the downtown recreate a comprehensive plan', 'Se-woon New town plan'. It is proposed that value system management method through Between values correlation analysis and the order of priority deduction. These are obtained to use Delphi technique and Analytic Hierarchy Process(AHP)

• Journal of Korea Trade
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• v.23 no.7
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• pp.34-44
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• 2019

Purpose - The purpose of this study is to present what the port of Pyeongtaek, the hub of Korean trade with China, should improve in the current situation, wherein the e-commerce trade volume between Korea and China is increasing due to the development of online technology. Design/methodology - In this study, through prior research and expert interviews on e-commerce and port activation between borders, we derived the main improvement factors for 1) Administration and Systems, 2) Facilities, 3) Transport, and 4) Manpower, and selected 12 detailed variables for the major improvement factors. To identify the relative importance of the major improvement factors, the Analytic Hierarchy Process (AHP) method was applied, and a survey was conducted among 15 related experts. Findings - As a result, among the 12 detailed variables, Composition of Association (0.267) was the first factor to be improved, followed by Incentive Support (0.143) and E-Commerce Cluster (0.131). Based on these analyses, the main implications of this study are, first, in the current situation where the cross-border e-commerce market is growing, Pyeongtaek Port needs to form a consultative body among the government, local governments, and related businesses in connection with cross-border e-commerce and develop various support policies for the e-commerce market. Second, it will have to be able to provide differentiated services from competing ports by establishing e-commerce market-oriented clusters. Originality/value - In existing related studies, various improvements were presented to revitalize trade in line with the growth of the cross-border e-commerce market. However, with regard to most cross-border e-commerce businesses, one-dimensional improvement measures, such as improvement of payment systems, improvement of customs clearance services, and promotion of human resources, are presented in a piecemeal manner. In other words, none of the studies have proposed the importance and priority of each measure in terms of both the forward-looking and efficient allocation of resources, which is the purpose of this study. Therefore, this study contributed politically, practically, and academically by presenting countermeasures for ports to revitalize cross-border e-commerce and presenting strategic priorities using quantitative analysis methods.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 2002.11a
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• pp.164-164
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• 2002

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.231-241
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• 2013

In this paper, we propose an average approximation filter which can effectively remove the noises of the images. The noises include impulse noises, gaussian noises and mixed noises. The algorithm is as follows. First, as a step of noise detection, we find whether the difference between the pixel value and the average value is greater than the threshold value or not after getting the average value that removed the minimum and maximum values in the applied mask. If the pixel value is greater than the threshold value, the pixel value is processed as noise. If it is less than or equal to the threshold value, it is processed as non-noise. Next, as the noise reduction step, we output the approximate value in mask as the pixel value and the average value except the minimum and maximum values of the pixel including the noise. As the result of applying this average approximation filter to the mixed noise images, the approximation filter can reduce the noises effectively more than 0.4[dB] as compared with applying the median filter and the average filter, respectively.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.128-160
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• 2006

With the globalization of economy, industries are facing increasingly greater challenges. Business integration, both internally and externally, is undoubtedly an important topic. However, how does an enterprise create its own value will be the key to an enterprise's success in the future. Therefore, this study bases on the evaluation of company value to assess the key factors and competitive strategies of an enterprise. Yet, only with stable enterprise performance can the company value be correctly evaluated. This will be an important issue for enterprise performance and business strategy. Subject of this study are mainly small and medium-sized (enterprises (SMEs). Model construction for SME value assessment is established through the system dynamics approach. Scholars' opinions on literature validation and application of Delphi Method are explored through literature review on local and foreign studies, in order to compile the relevant perspectives and indices for enterprise value creation. Hence model construction of the value creation system is established, and the correlation between the perspectives and related factors is explored to understand the overall dynamics model of SMEs' value creation system. Consequently, a research method based on the system dynamics perspective is provided for the study of enterprise value creation is provided, as policy reference for improvement of decision-making and value creation.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.2
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• pp.149-153
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• 2017

Objective: This study was to determine the relationship between estimated breeding value and phenotype information after farrowing when juvenile selection was made in candidate pigs without phenotype information. Methods: After collecting phenotypic and genomic information for the total number of piglets born by Landrace pigs, selection accuracy between genomic breeding value estimates using genomic information and breeding value estimates of best linear unbiased prediction (BLUP) using conventional pedigree information were compared. Results: Genetic standard deviation (${\sigma}_a$) for the total number of piglets born was 0.91. Since the total number of piglets born for candidate pigs was unknown, the accuracy of the breeding value estimated from pedigree information was 0.080. When genomic information was used, the accuracy of the breeding value was 0.216. Assuming that the replacement rate of sows per year is 100% and generation interval is 1 year, genetic gain per year is 0.346 head when genomic information is used. It is 0.128 when BLUP is used. Conclusion: Genetic gain estimated from single step best linear unbiased prediction (ssBLUP) method is by 2.7 times higher than that the one estimated from BLUP method, i.e., 270% more improvement in efficiency.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.1
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• pp.1-13
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• 2010

This study analyzes the innovation process of the value chain in the fashion industry. It examines the differences between traditional and FF-based methods that include value chain processes such as design, production, and distribution-sales process. In the literature review and case studies, general propositions were drawn from each innovative stage by a comparison analysis. First, design speed is the main factor to explain the impact of IT in the design process. Second, small quantity batch production becomes main stream by the adoption of a computer-integrated manufacturing system in the production process. Third, cost reduction and speedup improvement are results of innovation in the distribution process. Last, a customized interface provides important information that can integrate the value chain and make useful customer relationships in the sales process. Fast fashion is the best product of these procedural innovations in the overall value chain. Consequently, this study confirmed that the general propositions referred above were acceptable and adaptable in the case of ZARA in terms of fast fashion strategy.

• IE interfaces
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• v.13 no.3
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• pp.444-454
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• 2000

Due to the improvement of modern information technologies, sharing stock information among the supply chain members is a common practice nowadays. Many companies are planning to adopt the information systems to possess the real-time shared stock information. Thus, it is needed to quantify the value of shared stock information. The purpose of this paper is to evaluate the value of the shared stock information for two-echelon distribution systems. Existing reorder policies can be classified into installation stock policies and echelon stock policies. Since installation stock policies do not utilize the shared stock information, and both classes of policies may show poor performances for distribution systems, we cannot evaluate the value of the shared stock information with the existing policies. Thus, we provide a new type of reorder policy, named order risk policy. We define the order risk using marginal analysis, and prove the optimality. Through computational experiment that compares the order risk policy with the existing policies, it is shown that a significant cost reduction is achieved with the effective utilization of the shared stock information. We also show the effect of the system characteristics on the value of the shared stock information.