• Earthquakes and Structures
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• 제8권1호
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• pp.225-251
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• 2015

This paper presents a state-of-the-art review of the nonlinear modelling techniques available today for describing the structural behaviour of masonry infills and their interaction with frame structures subjected to in-plane loads. Following brief overviews on the behaviour of masonry-infilled frames and on the results of salient experimental tests, three modelling approaches are discussed in more detail: the micro, the meso and the macro approaches. The first model considers each of the infilled frame elements as separate: brick units, mortar, concrete and steel reinforcement; while the second approach treats the masonry infill as a continuum. The paper focuses on the third approach, which combines frame elements for the beams and columns with one or more equivalent struts for the infill panel. Due to its relative simplicity and computational speed, the macro model technique is more widely used today, though not all proposed models capture the main effects of the frame-infill interaction.

• Genomics & Informatics
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• 제14권4호
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• pp.160-165
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• 2016

Over the past decade, the detection of gene-gene interactions has become more and more popular in the field of genome-wide association studies (GWASs). The goal of the GWAS is to identify genetic susceptibility to complex diseases by assaying and analyzing hundreds of thousands of single-nucleotide polymorphisms. However, such tests are computationally demanding and methodologically challenging. Recently, a simple but powerful method, named "BOolean Operation-based Screening and Testing" (BOOST), was proposed for genome-wide gene-gene interaction analyses. BOOST was designed with a Boolean representation of genotype data and is approximately equivalent to the log-linear model. It is extremely fast, and genome-wide gene-gene interaction analyses can be completed within a few hours. However, BOOST can not adjust for covariate effects, and its type-1 error control is not correct. Thus, we considered two-step approaches for gene-gene interaction analyses. First, we selected gene-gene interactions with BOOST and applied logistic regression with covariate adjustments to select gene-gene interactions. We applied the two-step approach to type 2 diabetes (T2D) in the Korea Association Resource (KARE) cohort and identified some promising pairs of single-nucleotide polymorphisms associated with T2D.

• International Journal of Fluid Machinery and Systems
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• 제2권4호
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• pp.303-314
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• 2009

The present paper shows the results of numerical and experimental modal analyses of Francis runners, which were executed in air and in still water. In its first part this paper is focused on the numerical prediction of the model parameters by means of FEM and the validation of the FEM method. Influences of different geometries on modal parameters and frequency reduction ratio (FRR), which is the ratio of the natural frequencies in water and the corresponding natural frequencies in air, are investigated for two different runners, one prototype and one model runner. The results of the analyses indicate very good agreement between experiment and simulation. Particularly the frequency reduction ratios derived from simulation are found to agree very well with the values derived from experiment. In order to identify sensitivity of the structural properties several parameters such as material properties, different model scale and different hub geometries are numerically investigated. In its second part, a harmonic response analysis is shown for a Francis runner by applying the time dependent pressure distribution resulting from an unsteady CFD simulation to the mechanical structure. Thus, the data gained by modern CFD simulation are being fully utilized for the structural design based on life time analysis. With this new approach a more precise prediction of turbine loading and its effect on turbine life cycle is possible allowing better turbine designs to be developed.

• 복식문화연구
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• 제22권6호
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• pp.1011-1027
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• 2014

The purpose of this study is to analyze the factors that lead to continuous use intention of SNS marketing. The research model was designed to investigate the SNS factors that affect use intention based on TAM (Technology Acceptance Model) suggested by Davis (1986). The survey focused on age twenties to thirties male and female who had experience in receiving fashion brands message through Facebook. 329 questionnaires were used to analyze the results of study, and SPSS 12.0 was used to conduct factor analysis, reliability analysis, and multiple regression analysis. The results of this research are as follows. First, interaction/playfulness, information, reliability, and convenience of access were extracted as the characteristics of fashion brands SNS marketing. Second, all SNS factors had significant relation on perceived usefulness. But only interaction/playfulness and convenience of access showed significant relation on perceived ease of use. Third, perceived usefulness and perceived ease of use affected continuous use intention. Forth, continuous use intention had significant relation on brand attitude and showed direct and indirect significant relation to purchase intention.

• 대한인간공학회지
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• 제32권2호
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• pp.159-165
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• 2013

Objective: The aim of this study was to predict human performance time in finding objects on multi-display monitors using ACT-R cognitive architecture. Background: Display monitors are one of the representative interfaces for interaction between people and the system. Nowadays, the use of multi-display monitors is increasing so that it is necessary to research about the interaction between users and the system on multi-display monitors. Method: A cognitive model using ACT-R cognitive architecture was developed for the model-based evaluation on multi-display monitors. To develop the cognitive model, first, an experiment was performed to extract the latency about the where system of ACT-R. Then, a menu selection experiment was performed to develop a human performance model to find objects on multi-display monitors. The validation of the cognitive model was also carried out between the developed ACT-R model and empirical data. Results: As a result, no significant difference on performance time was found between the model and empirical data. Conclusion: The ACT-R cognitive architecture could be extended to model human behavior in the search of objects on multi-display monitors.. Application: This model can help predicting performance time for the model-based usability evaluation in the area of multi-display work environments.

• 유통과학연구
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• 제17권2호
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• pp.91-100
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• 2019

Purpose - The importance of customer experiences has been increasing in retail industry as wells as theme park industry. The purpose of this research is to investigate relationships among brand experience, customer perceived value and brand support behavior in theme park industry. Furthermore, we tried to examine the moderating effects of interaction with customers in the relationships between brand experience and customer perceived value. Besides, we provided some implications for not only the theme park industry but also other service industries such as retail industry. Research design, data, and methodology - The research model has nine hypotheses, and we examined them empirically in this study. Five hypotheses were about relationships among theme park brand experiences, customer perceived value, and brand support behavior. The other four hypotheses were about the moderating effects of customer interactions in the causal relationship between brand experiences and customer perceived value. A total of 167 samples who had visited the theme park were surveyed and the hypotheses were tested with the statistical package programs such as SPSS 21.0 and AMOS 21.0. Results - The results of this study are as follows. First, it was proved that theme park visitors' sensory experience, emotional experience, and cognitive experience have significant positive effects on perceived value, although the hypothesis about the causal relationship between behavioral experience and perceived value is not supported. Second, the customer perceived value has a positive effect on brand support behavior. Third, customer interaction has a positive moderating effect between brand experiences and perceived value, except for behavioral experience. Conclusions - Based on the results of this study, there can be following significances and implications from both theoretical and practical perspectives. First, we confirmed the importance of experiential marketing in other service industries such as retail industry as well as the theme park industry. The marketing managers in these industries need to design various experience programs considering the various characteristics of experiences such as sensory, emotional, and cognitive experiences. Second, it will be necessary for the theme park managers to encourage active participation of customers, and raise the level of interaction between employees and customers.

• 대한간호학회지
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• 제49권2호
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• pp.137-148
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• 2019

Purpose: This study aimed to investigate the effects of a reinforcement program for behavioral skills in postpartum care for couples with their first baby. Methods: The study used a non-equivalent control group and pretest-posttest design. It was conducted from January 14 to April 10, 2016 at a postpartum care center in D city. It analyzed 43 couples (22 in the experimental group and 21 in the control group.) For data analysis, descriptive statistics, test of homogeneity in pretest, independent t-tests, and repeated measures ANOVA were used. Results: For maternal fulfillment of postpartum care and postpartum fatigue, there was no significant difference in the interaction between group and time. In terms of parent-newborns attachment, the interaction between group and time showed a significant difference for mothers (F=13.63, p=.001) and fathers (F=6.51, p=.001). In marital intimacy, the interaction between group and time showed a significant difference for mothers (F=14.40, p<.001) and fathers (F=9.46, p=.004). In parenting stress, the interaction between group and time showed a significant difference for mothers (F=31.8, p<.001) and fathers (F=11.69, p=.001). A significant difference was found for the mothers' postpartum sleeping hours (F=0.14 p=.004). Conclusion: This program for behavioral skills in postpartum care, which is based on the information-motivation-behavioral skills model, improves postpartum care, parent-newborn attachment, marital intimacy, parenting stress, and maternal postpartum sleeping, by reinforcing behavioral skills required for postpartum care.

• Advances in aircraft and spacecraft science
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• 제7권6호
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• pp.553-570
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• 2020

To address the problems caused by the strong coupling of an airbreathing hypersonic vehicle's airframe and propulsion to the integrated control system design, an integrated airframe-propulsion model is established, and the coupling characteristics between the aircraft and engine are analyzed. First, the airframe-propulsion integration model is established based on the typical nonlinear longitudinal dynamical model of an air-breathing hypersonic vehicle and the one-dimensional dual-mode scramjet model. Thrust, moment, angle of attack, altitude, and velocity are used as transfer variables between the aircraft model and the engine model. The one-dimensional scramjet model can accurately reflect the working state of the engine and provide data to support the coupling analysis. Second, owing to the static instability of the aircraft model, the linear quadratic regulator (LQR) controller of the aircraft is designed to ensure attitude stability and height tracking. Finally, the coupling relationship between the aircraft and the engine is revealed through simulation examples. The interaction between vehicle attitude and engine working condition is analyzed, and the influence of vehicle attitude on engine safety is considered. When the engine is in a critical working state, the attitude change of the aircraft will not affect the engine safety without considering coupling, whereas when coupling is considered, the attitude change of the aircraft may cause the engine unstart, which demonstrates the significance of considering coupling characteristics.

• 정보관리학회지
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• 제24권2호
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• pp.45-69
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• 2007

본 논문은 다음과 같은 두 부분으로 구성된다. 논문의 전반부는 네 개의 정보검색 모형을 다루고 있는데 이는 전통적 정보검색 모형과 보다 최근에 나온 세 연구자의 이용자 중심 인터액티브 모형을 포함한다. 인터액티브 정보검색 모형은 Belkin, Ingwersen, 그리고 Saracevic에 의하여 제시된 것인데, 전통적 정보검색 모형을 포함한 각 모형의 장점과 한계점이 기술된다. 논문의 후반부에서 저자는 이상과 같은 모형들에 관한 분석을 토대로 그 자신의 인터액티브 모형, 즉 빙산모형(Iceberg Model)을 제시하고 있다. 빙산모형의 타당성으로 다음과 같은 세 가지 사항을 강조하고 있는데, 즉, 보다 구체화된 시스템 특성의 포함, 보다 명확한 인터액티브 정보검색 요소간의 상호작용, 그리고 정보매개자의 증가된 역할 등이 그것이다. 요약하면, 빙산모형은 변화하는 정보추구환경에서 진화할 수 있는 틀을 제시하고 있다.

• 한국농공학회지
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• 제42권2호
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• pp.78-85
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• 2000

The moment equations of the concentration distribution for the multi-region model are derived using the method of moment. The method originally devised by Aris is to obtain the concentration moments satisfying a given PDE (Partial Differential Equation. The method of moment is used to obtain the first five moments (0th to 4to) that satisfy the model PDE. Each moment of the concentration distribution for the model equation is plotted for the dimensionless time and gave similar results except the skewness and the kurtosis. The results of the analysis show the physical meaning of each moment. The comparisons with the number of regions or the global interaction coefficient give a possibility to determine the parameters of the multi-region model with the analytical concepts.