• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.4
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• pp.94-104
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• 2004

This study creates the LCP (Landscape Control Point) through the survey of spot sites for the quality of landscape assessment, which is based on an objective and departmentalized data base; the landscape assessment was achieved by production of weight value with the AHP (Analytic Hierarchy Process) technique, selection of requisites for the landscape assessment with the IVERSON method and visual area analysis with GIS (Geographic Information System). Futhermore, validity of the landscape assessment was verified by analysis of the correlation between physical amount and aesthetic amount. The purpose of this study is to suggest the basic essential data for landscape assessment and landscape planning by the characteristics of landscape based on verification of the suggested landscape assessment methods. The results of this study are summarized below. 1. In the adaptation of landscape assessment using GIS, the landscape assessment points of LCP 18, 17 and 16, which have more visible elements such as hill area, mountain area, and forest and farm land, were indicated to be higher than the others. In contrast, the landscape assessment points of LCP 13, 6 and 10, which have less visible elements, were relatively lower than the others. 2. In the visible preference measuring method, LCP 4, 14, and 16 showed high points of landscape assessment with 3.46, 3.4, and 3.18 each. With the more natural environments such as hill area, mountain area, and forest and farm land, higher results were shown. In contrast, LCP 7, 1, and 9 showed low points of landscape assessment with 2.24, 2.36, and 2.53 each. 3. In this study, a coefficient of 0.746 was gained by the analysis of correlation between the points of landscape assessment method and the points of visual preference from a slide show. This has 99 percent of probability in statistical data. 4. In conclusion, with the demonstration of the correlation between the landscape assessment method based on the AHP technique and the aesthetic amount (preference proportion), the practical use of landscape assessment can be demonstrated by the suggested landscape assessment method.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.359-367
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• 2019

As a strategy for strengthening local competitiveness, efficient use of regional assets is becoming more and more important. The key to regional identity and competitiveness is local assets. The purpose of this study is to derive the priority region for development by evaluating local assets. The analysis methods used in this study are Geographic Information System analysis, Big Data Trend analysis, and Analytic Hierarchy Process analysis. To assess the potential of local assets, the preference of assets, historical value, cluster of resources, wide-area transport accessibility, and population density were set as analysis indicators and itemized weights were applied using AHP to reflect the importance of each item. As a result of analyzing Yeongju city in Gyeongsangbuk-do, eight major points such as Buseoksa Temple, Sosu Seowon, Huibangsa Temple, Punggi Hot Spring Resort, Punggi Station, National Center for Forest Therapy, Yeongju east region and Museom Village were derived.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.194-204
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• 2019

This study aims to review previous research on the key elements of an Initial Coin Offering (ICO) and establish their priorities in order to help relevant stakeholders build and invigorate an ecosystem that integrates blockchain technology with the digital content industry. To achieve this goal, we first structured the key elements identified from previous studies into a hierarchy model. We then assigned weighted values to each element using the Analytic Hierarchy Process (AHP) methodology. Among the main elements, the priorities were identified as follows, from most important to least: Business (0.422) > Technology (0.172) > Contents (0.144) > Human Resources (0.104) > Institutions (0.099) > Token (0.059). With regard to the sub-elements, the weighted values were found to be as follows, in descending order: Probability (0.162) > Laws and Regulations (0.071) > Estimated Growth (0.063). The implications of the results are also described within the present study. The findings of this study will be of great value to ICO founders as well as investors and provide a much-needed academic basis for the burgeoning blockchain-integrated ecosystems and businesses.

• Korean Journal of Agricultural Science
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• v.46 no.3
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• pp.519-527
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• 2019

In Korea, the $6^{th}$ industrialization in the agricultural sector has increased farmers' income and value-added agricultural products. Local governments, including Chungcheongnam-do, as well as the Ministry of Agriculture, Food and Rural Affairs, introduced the $6^{th}$ industrialization to the agricultural sector and operated various programs for the $6^{th}$ industrialization in the agricultural sector. Recently, the capacity of human resources for the $6^{th}$ industrialization in the agricultural sector became one of the important problems which might limit the effect of the $6^{th}$ industrialization in Korea. Chungcheongnam-do introduced an education program in 2018 to improve the capacity of people who work for the $6^{th}$ industrialization in the agricultural sector. However, researchers have rarely studied or discussed the current status of this education program. The aims of this paper were to analyze the current status of the education program for the $6^{th}$ industrialization in the agricultural sector through a survey, frequency analysis and analytical hierarchy process (AHP) and to present a way to improve the effect of the education program. The results of this study are as follows: First, the students in the education program were generally satisfied with the lectures and achieved knowledge and social networking among the students. Second, practical lectures, including practice and field experience, need to be expanded for the students instead of theory lectures. Third, networking between students and experts should be strengthened.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.3
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• pp.79-84
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• 2021

A feature extraction method capable of reflecting features well while mainaining the properties of data is required in order to process high-dimensional data. The principal component analysis method that converts high-level data into low-dimensional data and express high-dimensional data with fewer variables than the original data is a representative method for feature extraction of data. In this study, we propose a principal component analysis method based on adaptive correlation when selecting principal component variables in principal component analysis for data feature extraction when the data is high-dimensional. The proposed method analyzes the principal components of the data by adaptively reflecting the correlation based on the correlation between the input data. I want to exclude them from the candidate list. It is intended to analyze the principal component hierarchy by the eigen-vector coefficient value, to prevent the selection of the principal component with a low hierarchy, and to minimize the occurrence of data duplication inducing data bias through correlation analysis. Through this, we propose a method of selecting a well-presented principal component variable that represents the characteristics of actual data by reducing the influence of data bias when selecting the principal component variable.

• 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.

• Korean Journal of Occupational Health Nursing
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• v.33 no.1
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• pp.26-35
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• 2024

Purpose: This study aumed to identify the effects of job satisfaction, nursing organizational culture and social support on intention retention among general hospital nurses. Methods: The subjects were 254 nurses working in one general hospital. Data were collected from January 1 to 30, 2023. Data were analyzed by t-test, ANOVA, Pearson correlation, and multiple regression analysis using the SPSS/WIN 25.0 program. Results: (a) In this study, the mean value of job satisfaction was 3.07±0.43, relation-oriented culture was 3.45±0.51, hierarchy-oriented culture was 3.39±0.49, task-oriented culture was 3.35±0.48, innovation-oriented culture was 3.00±0.46, social support was 3.75±0.49, and intention retention was 4.98±1.39. (b) Intention retention had a positive correlation with job satisfaction (r=.41, p<.001), social support (r=.29, p<.001), innovation-oriented culture (r=.29, p<.001), relation-oriented culture (r=.20, p=.001), and hierarchy-oriented culture (r=.18, p=.002). (c) Factors that affect intention retention include job satisfaction (β=.41, p<.001), Working type (Non-shift) (β=.18, p=.001), Nursing job selection (Recommendation, employment) (β=-.16, p=.003), and the explanation power was 23.1% (F=9.43, p<.001). Conclusion: Our study shows that job satisfaction plays a significant role in the intention retention of nurses. It is important to strengthen job satisfaction to increase the retention of nurses. The results of this study may serve as basic data for the development of strategies to improve intention retention in nurses.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Journal of Industrial Technology
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• v.25 no.B
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• pp.47-54
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• 2005

The goal of this study is to generate a landslide potential map using GIS(Geographic Information System) based method. A simple and efficient algorithm is proposed to generate a landslide potentialities map from DEM(Digital Elevation Model) and existing maps. The categories of controlling factors for landslides, aspect of slope, soil, vegetation are defined. The weight value for landslide potentialities is calculated from AHP(Analytic Hierarchy Process) method. Slope and Slope-direction is extracted from DEM, and soil information is extracted from digital soil map. Also, vegetation information is extracted from digital vegetation map. Finally, as overlaying, landslide potentialities map is made out, and it is compared with landslide place.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.2
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• pp.57-64
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• 2008

The walls of art museums become the background of exhibits, and they form a unit space depending on the of each exhibit. In addition, the walls are configured and presented depending on the rhythm of space, or the structure of an axis. In this study, according to the axis composed for each unit space, the presentation methods of walls were classified as follows: The central type, the skewed type, the crossed type, the one-side corridor type, and the two-way corridor type. By analyzing visual configurations formed by the arrangement of each unit space, the value and the hierarchy of walls are discussed To analyze the classified types with the physical change of unit space, the factors of visual integration, connectivity, depth, and visual axis are compared, and various configurations of walls and space change are applied.