• International conference on construction engineering and project management
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• 2009.05a
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• pp.1223-1230
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• 2009

In the construction industry, Case-Based Reasoning (CBR) is considered to be the most suitable approach and determining the attribute weights is an important CBR problem. In this paper, a method is proposed for determining attribute weights that are calculated with attribute relation. The basic items of consideration were qualitative and quantitative influence factors. These quantitative factors were related to the qualitative factors to develop a Cost Drivers-structural equation model which can be used to estimate construction cost by considering attribute weight. The process of determining the attribute weight-structural equation model consists o 4 phases: selecting the predominant Cost Drivers for the SEM, applying the Cost Driers in the SEM, determining and verifying the attribute weights and deriving the Cost Estimation Equation. This study develops a cost estimating technique that complements the CBR method with a Cost Drivers-structural equation model which can be actively used during the schematic estimating phases of construction.

• Structural Monitoring and Maintenance
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• v.5 no.1
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• pp.67-78
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• 2018

The stability of cutting slope influences the safety of railway operation, and how to identify the stability of the slope quickly and determine the rational monitoring plan is a pressing problem at present. In this study, the attribute recognition model of risk assessment for high cutting slope stability in the heavy haul railway is established based on attribute mathematics theory, followed by the consequent monitoring scheme design. Firstly, based on comprehensive analysis on the risk factors of heavy haul railway loess slope, collapsibility, tectonic feature, slope shape, rainfall, vegetation conditions, train speed are selected as the indexes of the risk assessment, and the grading criteria of each index is established. Meanwhile, the weights of the assessment indexes are determined by AHP judgment matrix. Secondly, The attribute measurement functions are given to compute attribute measurement of single index and synthetic attribute, and the attribute recognition model was used to assess the risk of a typical heavy haul railway loess slope, Finally, according to the risk assessment results, the monitoring content and method of this loess slope were determined to avoid geological disasters and ensure the security of the railway infrastructure. This attribute identification- risk assessment- monitoring design mode could provide an effective way for the risk assessment and control of heavy haul railway in the loess plateau.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.6
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• pp.579-588
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• 2015

The data model for structural experiment information formally organizes the information involved in the structural experiments before the data repository using the data model is implemented. The data model is particularly required for the data repositories for the large-scale structural experiment information and the general information for various types of experiments, such as the NEEShub Project Warehouse developed by NEES. This paper proposes criteria for evaluating the organization and the use of design model for structural experiment information. The term of AVE(attribute value existence) indicates the ratio of attributes who values exist in objects, and then used for defining the Attribute AVE for the use of an attribute, the Class AVE for a class, the Class Level AVE for a class including its lower-level classes, the Project AVE for a project including all classes at class levels, and the Data Model AVE for a data model including projects. These criteria are applied to the projects in the NEES data model, and it is successively possible to numerically describe the evaluation of the use of classes and attributes in the data model.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.929-937
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• 2021

This present research seeks to explore the empirical evidence about the relation between quality of destination and Islamic attribute of destination on tourist satisfaction. This research was conducted at the tourism sector in West Java, Indonesia. The participants were Muslim foreign tourists who were traveling to West Java, Indonesia. The total number of participants in the research was 200. Data collection was carried out using a questionnaire. Hypotheses were tested using structural equation modeling methods with AMOS version 23. The exogenous variables in this research consisted of the quality of the destination and Islamic attribute of destination. Tourist satisfaction was an endogenous variable in this research. We used a quantitative approach and structural equation modeling to examine the research hypotheses. The results showed that there was a positive and significant effect of the quality of destination on the tourist satisfaction, and the quality of destination positively affected Islamic attribute of destination, but Islamic attribute of destination had no significant effect on tourist satisfaction. We also found that Islamic attribute of destination did not mediate the relation between quality of destination and tourist satisfaction. We provided recommendations to strengthen or improve the quality of destination in order to increase tourist satisfaction.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.735-749
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• 2008

The purpose of this study was to examine the influence of the digital textbook attribute factors on the learning interest and learning satisfaction using the structural equation model. In order to accomplish the purpose, the research was carried out with 325 students of digital textbook research school. Attribute factors of digital textbook are divided into self-concept of subjects and attribute factors of subjects. Self-concept of subjects is consist of superiority feeling and confidence. Attribute factors of subjects is interest, a sense of purpose, accomplishment motive. The results of this study can be summarized that the digital textbook attribute factors on the learning interest are signified confidence, interest, a sense of purpose, accomplishment motive. And the digital textbook attribute factors on the learning interest are signified learning satisfaction.

• Geophysics and Geophysical Exploration
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• v.2 no.3
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• pp.149-153
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• 1999

The study was performed as a part of 3-D exploration project of the South Con Son basin, where Korea National Oil Co. (KNOC) and SHELL Company are performing joint operation. In the structurally complex area, seismic facies or lap-out patterns, which are usually the tools for the conventional seismic stratigraphy developed by Exxon Group (Vail et at., 1977), are not easily identifiable. Therefore, stratigraphic informations are mainly extracted from seismic attribute maps of each sequence or systems tracts, and isopach maps in correlation with the stratigraphic information from the wells. The attribute maps of the sequence or systems tract boundaries and isopach map describe the variations of paleodepositional environments. The shape of the attribute maps of the boundaries is a reasonable description of the shape of the paleodepositional surface. With other maps such as isopach and structural maps, the variations of the parasequences in the systems tracts can be projected using the surface attribute maps. The reflection intensity attribute at each sequence or system tract boundary can be related to lithology, facies or porosity distributions. The azimuth attribute of source rock sequence can be used to identify the hydrocarbon migration patterns into the prospects. The overall risks of reservoir rocks, cap rocks, structure and hydrocarbon migrations were computed using the results of the study.

• Journal of Agricultural Extension & Community Development
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• v.22 no.4
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• pp.395-404
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• 2015

The purpose of this study was to examine the structural relationships between attributes, satisfaction, and behavioral intention of rural tourism activity. For this study, an onsite survey was conducted to tourists of 35 rural tourism farms. A total of 408 samples were collected for the analysis. The SPSS 20.0 and AMOS 18.0 statistical package were used for frequency, reliability, exploratory factor, confirmatory factor, and path analysis. Through exploratory factor analysis, four dimensions of rural tourism activity attribute were identified from 20 variables: 'human resource', 'activity', 'rural culture', and 'facility and environment'. The results of structural equation modelling indicate that 'human resource', 'activity', 'rural culture' had positive effect on behavioral intention. Through the results, agritourism farm operators will be able to develop effective marketing strategy and management skill.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.275-282
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• 2020

As interest in the high-potential Chinese beauty market is growing, understanding the disposition of Chinese consumers different from Korea is becoming more important for successful entry into the Chinese market. This study attempted to compare differences in beauty shop selection attributes between Korean and Chinese consumers. In order to achieve this research purpose, the beauty shop selection attribute was classified into five components: environmental attribute, structural attribute, external attribute, awareness, and service attribute. Survey responses were collected from 162 Chinese and 111 Koreans, respectively, and empirical analysis was conducted. Both Chinese and Koreans had significant relationships between environmental attribute, service attribute and satisfaction, but the relationship between the remaining attributes and satisfaction were not significant. In addition, significant differences exist between Chinese and Koreans in the relationship between environmental attribute, service attribute and satisfaction. The results of this study can help companies to establish and operate a higher quality beauty shop based on understanding the situation and characteristics of each country in the fierce competition in the beauty market.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.84-91
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• 2021

The purpose of this study is to investigate the structural relationship between resort selection attributes, emotional responses, and empirical values of scuba diving participants. The general population who enjoys scuba diving in Korea was selected as the population. Using the convenience sampling method, 553 of the 600 questionnaire samples were extracted as the final valid sample. For data processing, frequency analysis, exploratory factor analysis, and Cronbach's α test were performed using SPSS 23, and confirmatory factor analysis and structural equation model analysis were performed with AMOS 18. The results are as follows: First, among the sub-factors of selection attributes, equipment, facility environment, and diving point showed a positive effect on emotional response, but staff service did not have any significant effect. Second, the emotional response positively affected by the selection attribute showed a positive effect on all factors of service excellence, consumer utility, fun value, and aesthetic value of empirical value. Therefore, scuba diving resort managers must recognize the importance of equipment, facility environment, and diving point among these selection attributes of customers. And to satisfy the customer needs the resort must accurately identify the needs for diving equipment, facility environment and diving point. Various methods for this should be explored through the needs of the identified customers, and efforts should be made to provide safe equipment, comfortable facilities, and various diving points.

• Journal of Technology Innovation
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• v.9 no.1
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• pp.1-19
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• 2001

Importance of technology evaluation cannot be overemphasized to support the effective investment policy. Most of the technology evaluation relies on either quantitative analysis for the value or qualitative comparison due to some attribute. When qualitative comparison is made, typically not only individual attribute. but also overall score is evaluated by the committee of experts. In this paper, we consider the qualitative evaluation procedure used in a venture incubating center and validate if the relationship between the average score of individual attribute and the overall score is significant. Additionally, we identify if the initially evaluated scores are good indicators for the realized future value of technology. Structural equation modeling approach is used and we expect that our approach can make important contributions on improving the currently used technology evaluation method.