• Proceedings of the Safety Management and Science Conference
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• 2004.05a
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• pp.153-159
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• 2004

There are various types of PLM(product liability management) according to corporation management level. It is necessary to develop diagnostic methods and application systems for PLM as well as to establish an efficient PLM system. This paper aims to propose a PLM system which can be applied to product with high-reliability and high-safety, and diagnostic methods for PLM based on AHP, and also show an empirical application of the proposed PL management system for Auto Test Robot System of the Mobile Phone (EVT 4320).

• Proceedings of the Korea Concrete Institute Conference
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• 1998.10b
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• pp.737-742
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• 1998

Non-destructive field tests of the concrete has achieved increasing acceptance for the evaluation of existing concrete structures. But the application of this test has not still accomplished to guarantee perfectly the durability of the concrete bridges in Korea. As two major testing methods, this paper recommends the proper empirical relationship between the rebound number together with the ultrasonic pulse velocity and the core strength. Also, this paper recommend the relationships as the aging and as the element.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1996.04a
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• pp.40-46
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• 1996

Three procedures are currently used for the design of deep beams, which are Empirical design method, Nonlinear analysis, and Truss models. The engineering logic and decisions inherent in these design procedures are dependent on the acquired knowledge and experience of the structural engineer. Knowledge-based system is useful to solve problems which require human experties. Therefore, this study presents an application of Knowledge-Based System for design of reinforced concrete deep beams with web openings.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.185-198
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• 2012

This paper is to analyze consumer's acceptance phase of innovative IT product on the ground of dividing into product and application phase. In the acceptance phase of product determinants to consumer's satisfaction were analyzed and TAM(Technology Acceptance Model) were applied to the acceptance phase of application. It is analyzed that how well expected usefulness and perceived satisfaction to product have positively influence its performance and perceived satisfaction respectively in the acceptance phase of the product. In the acceptance phase of application, factors to consumers' satisfaction were analyzed to investigate its influence to the usefulness of application. Usefulness expectancy to the application and product were analyzed to figure out consumers'intention to use the product and effort and cost going into application use were also analyzed. Empirical study was implemented aimed at smart phone users. As a result, perceived usefulness expectancy to product have positively influence on perceived product performance and perceived product performance also affects perceived product satisfaction significantly. Although product satisfaction doesn't affect usefulness expectancy to the application, usefulness expectancy to the product and perceived product performance have positively influence on usefulness expectancy to the application significantly. And also usefulness expectancy to the both of application and product have positively influence on consumer's intention to use the product but consumer's effort and cost going into application doesn't affect to it, it's hold forth the possibility that consumer's effort affect consumer's intention to use the product.

• Communications of Mathematical Education
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• v.24 no.2
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• pp.325-344
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• 2010

The purpose of this study is to investigate what influences students' preferences on empirical and deductive proofs and find their relations. Although empirical and deductive proofs have been seen as a significant aspect of school mathematics, literatures have indicated that students tend to have a preference for empirical proof when they are convinced a mathematical statement. Several studies highlighted students'views about empirical and deductive proof. However, there are few attempts to find the relations of their views about these two proofs. The study was conducted to 47 students in 7~9 grades in the transition from empirical proof to deductive proof according to their mathematics curriculum. The data was collected on the written questionnaire asking students to choose one between empirical and deductive proofs in verifying that the sum of angles in any triangles is $180^{\circ}$. Further, they were asked to provide explanations for their preferences. Students' responses were coded and these codes were categorized to find the relations. As a result, students' responses could be categorized by 3 factors; accuracy of measurement, representative of triangles, and mathematics principles. First, the preferences on empirical proof were derived from considering the measurement as an accurate method, while conceiving the possibility of errors in measurement derived the preferences on deductive proof. Second, a number of students thought that verifying the statement for three different types of triangles -acute, right, obtuse triangles - in empirical proof was enough to convince the statement, while other students regarded these different types of triangles merely as partial examples of triangles and so they preferred deductive proof. Finally, students preferring empirical proof thought that using mathematical principles such as the properties of alternate or corresponding angles made proof more difficult to understand. Students preferring deductive proof, on the other hand, explained roles of these mathematical principles as verification, explanation, and application to other problems. The results indicated that students' preferences were due to their different perceptions of these common factors.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.16 no.4
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• pp.233-240
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• 2004

For the development of empirical equation of run-up height, a new surf parameter called' wave action slope' $S_x$ is introduced. Approximate equation has been produced for each band of water depth for the computation of wave run-up height using the laboratory graph of Saville(1958). On the other hand using the laboratory data of Ahrens(1988) and Mase(1989), empirical equations of run-up height have been developed for the general application with considering roughness effect covering a wide range of water depth and wall slope. When Mase tried to relate the run-up height to the Iribarren number, nonlinear relation has been obtained and hence the empirical equation has a power law. But when the wave action slope is adopted as a major factor for the estimation of run-up height the empirical equation shows a linear relationship with very good correlation for the wide range of water depth and wall slope.

• Geomechanics and Engineering
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• v.30 no.1
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• pp.11-26
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• 2022

One of the most important issues in tunneling, is the squeezing phenomenon. Squeezing can occur during excavation or after the construction of tunnels, which in both cases could lead to significant damages. Therefore, it is important to predict the squeezing and consider it in the early design stage of tunnel construction. Different empirical, semi-empirical and theoretical-analytical methods have been presented to determine the squeezing. Therefore, it is necessary to examine the ability of each of these methods and identify the best method among them. In this study, squeezing in a part of the Alborz service tunnel in Iran was estimated through a number of empirical, semi- empirical and theoretical-analytical methods. Among these methods, the most robust model was used to obtain a database including 300 data for training and 33 data for testing in order to develop a machine learning (ML) method. To this end, three ML models of Gaussian process regression (GPR), artificial neural network (ANN) and support vector regression (SVR) were trained and tested to propose a robust model to predict the squeezing phenomenon. A comparative analysis between the conventional and the ML methods utilized in this study showed that, the GPR model is the most robust model in the prediction of squeezing phenomenon. The sensitivity analysis of the input parameters using the mutual information test (MIT) method showed that, the most sensitive parameter on the squeezing phenomenon is the tangential strain (ε_θ^α) parameter with a sensitivity score of 2.18. Finally, the GPR model was recommended to predict the squeezing phenomenon in tunneling projects. This work's significance is that it can provide a good estimation of the squeezing phenomenon in tunneling projects, based on which geotechnical engineers can take the necessary actions to deal with it in the pre-construction designs.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.41-60
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• 2011

Due to the explosive growth of smartphone use, new type and format of business opportunity is being created. Despite the creation of added value using smartphone is very important, the past study on smart phone has been mainly focused on its functions and specifications. This study is intended to identify the factors that influence continuance usage intention of smartphone and to analyze the relationship between such factors and the expected confirmation. satisfaction, and usage intention. The result of this empirical study indicates that the perceived enjoyfulness and quality significantly affect users' expected confirmation and satisfaction, and social influence also affects users' continuance usage intention. Thus, it implies users place a high value on enjoyfulness and quality in using smartphone application and on social influence in choosing specific application. Finally this paper provides a detailed account of how customers accept smartphone application and their perceived characteristics affect the usage intention.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.225-239
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• 2007

Mobile service is highly becoming in the limelight on information society by offering infringement problem about individual privacy or information by political and scientific interest This study is focusing on primary LBS application Mobile service that emphasize position confirmation, especially, looking for friends. The aim at this study grasps user productivity factor of LBS application Mobile service, and analyses whether some have relations with value and action determination of LBS application Mobile service. According to result, Mobile service applying position service is supported with usefulness and system quality, adaptedness. On the other hand, Usability and social effect, privacy weren't embossed by leading person. Mobile service applying position service is changed with a person who have experience looking for friend. This study has systematically analysed about LBS application service by leading person

• Journal of Distribution Science
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• v.20 no.9
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• pp.61-71
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• 2022

Purpose: This study analyzes the effects of variables affecting e-satisfaction and e-loyalty in e-commerce. Research design, data, and methodology: A survey was conducted to 384 Indonesia online shopping mobile application users. The questionnaire construct was designed based on several independent variables, such as application attractiveness, application functionality, and customer service on e-satisfaction and e-loyalty. E-satisfaction was positioned as an intervening variable to determine the effect on e-loyalty. Results: Application attractiveness, application functionality, and customer service shown positive effect on e-satisfaction in online shopping mobile application. At the same time, e-satisfaction also affected e-loyalty significantly as referred in previous studies. However, application attractiveness, while showed positive effect on e-satisfaction, in contrary with previous study does not showed very significant effect. Conclusion: Application functionality significantly influences users satisfaction compared to application attractiveness. E-satisfaction mediates as a factor between visual design, information access, and transaction in online shopping mobile application, which stimulates user loyalty. The study findings' can be a reference for companies to create and maintain users' satisfaction and loyalty via different aspects of mobile application. Further research should be conducted on other field of study as the industry has different aspects that affects user loyalty.