• Geomechanics and Engineering
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• v.35 no.4
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• pp.395-409
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• 2023

Long-span suspension bridges have tunnel anchor systems to maintain stable cables. More investigations are required to determine how closely tunnel excavation beneath the tunnel anchor impacts the stability of the tunnel anchor. In order to investigate the impact of the adjacent tunnel's excavation on the stability of the tunnel anchor, a large-span suspension bridge tunnel anchor is utilised as an example in a three-dimensional numerical simulation approach. In order to explore the deformation control mechanism, orthogonal tests are employed to pinpoint the major impacting elements. The construction of an advanced pipe shed, strengthening the primary support. Moreover, according to the findings the grouting reinforcement of the surrounding rock, have a significant control effect on the settlement of the tunnel vault and plug body. However, reducing the lag distance of the secondary lining does not have such big influence. The greatest way to control tunnel vault settling is to use the grout reinforcement, which increases the bearing capacity and strength of the surrounding rock. This greatly minimizes the size of the tunnel excavation disturbance area. Advanced pipe shed can not only increase the surrounding rock's bearing capacity at the pipe shed, but can also prevent the tunnel vault from connecting with the disturbance area at the bottom of the anchorage tunnel, reduce the range of shear failure area outside the anchorage tunnel, and have the best impact on the plug body's settlement control.

• Composites Research
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• v.37 no.1
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• pp.40-45
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• 2024

In this research, we introduce a novel approach that employs a 3D convolutional neural network (CNN) model to predict the permeability of Gas Diffusion Layers (GDLs). For training the model, we create an artificial dataset of GDL representative volume elements (RVEs) by extracting morphological characteristics from actual GDL images obtained through X-ray tomography. These morphological attributes involve statistical distributions of porosity, fiber orientation, and diameter. Subsequently, a permeability analysis using the Lattice Boltzmann Method (LBM) is conducted on a collection of 10,800 RVEs. The 3D CNN model, trained on this artificial dataset, well predicts the permeability of actual GDLs.

• Clinical and Experimental Vaccine Research
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• v.13 no.2
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• pp.132-145
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• 2024

Purpose: Enterovirus 71, a pathogen that causes hand-foot and mouth disease (HFMD) is currently regarded as an increasing neurotropic virus in Asia and can cause severe complications in pediatric patients with blister-like sores or rashes on the hand, feet, and mouth. Notwithstanding the significant burden of the disease, no authorized vaccine is available. Previously identified attenuated and inactivated vaccines are worthless over time owing to changes in the viral genome. Materials and Methods: A novel vaccine construct using B-cell derived T-cell epitopes from the virulent polyprotein found the induction of possible immune response. In order to boost the immune system, a beta-defensin 1 preproprotein adjuvant with EAAAK linker was added at the N-terminal end of the vaccine sequence. Results: The immunogenicity of the designed, refined, and verified prospective three-dimensional-structure of the multi-epitope vaccine was found to be quite high, exhibiting non-allergenic and antigenic properties. The vaccine candidates bound to toll-like receptor 3 in a molecular docking analysis, and the efficacy of the potential vaccine to generate a strong immune response was assessed through in silico immunological simulation. Conclusion: Computational analysis has shown that the proposed multi-epitope vaccine is possibly safe for use in humans and can elicit an immune response.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2346-2365
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• 2024

This research identifies specific user experience factors that have positive impact on user's behavior intention to use so that a new technology called stretchable display(SD) can be accepted and spread in the market. To show how these factors can be applied to SD home appliances, a few concrete designs have been suggested. In the first stage of the research, the initial concept of innovative product design with stretchable display was derived by developing a scenario that solves the expected experience by home product users through the attributes of the SD technology. In the second stage, a scenario of the product to which a stretchable display was applied was suggested to investigate the expected experience factors that influence the behavior intention to use. As a result of the analysis, users showed a positive intention to use for the factors of Functionality of Space and Life Support, Presentation of Preferences, and Customization of Emotions, provided by the product with SD technology applied. In the next stage, based on the verified user experience factors, multifunctional kitchen appliances design, smart furniture design with flexible surfaces, and smart interior wall tile design have been derived. After all, the differentiated transformable interface designs shown through this process have been suggested as three-dimensional soft-physical button design and attachable design for multi-curved soft furniture. This study is significant as it emphasizes a user-centered design process over a technology-centered approach, enhancing market acceptability and focusing on design features aligned with the user's expected experience.

• Journal of Internet of Things and Convergence
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• v.10 no.3
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• pp.1-6
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• 2024

In response to the increasing demand for unrestricted access to diverse services regardless of location, cost-effective and easily deployable Wireless Mesh Network (WMN) solutions have once again captured attention. This paper primarily addresses the implementation challenges of Autonomous Load-balancing Field-based Anycast routing+ (ALFA+) for three-dimensional (3D) WMNs. Subsequently, we evaluate the performance of ALFA+ in an 802.11-based 3D WMN testbed established within a university campus using commercial devices, thus validating the practical viability of ALFA+. While most prior research has relied on performance evaluation through virtual environment simulations, this study distinguishes itself by performance evaluations in a real-world testbed using commercial devices and providing detailed implementation-related information necessary for such evaluations. This approach holds considerable significance in assessing the actual applicability of ALFA+.

• Journal of the Korean Geotechnical Society
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• v.15 no.4
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• pp.247-260
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• 1999

It was found that surface roughness has a first-order effect on the interface shear strength and accordingly it should be accurately quantified if its role is to be properly understood. Most of the surface roughness parameters are based on the trisector approach (three dimensional parameter) which can provide a good measure of the surface roughness from a static perspective. However, if roughness is to be correlated with a directional sensitive parameter such as interface shear then a two dimensional parameter could be more meaningful if the roughness measurements are made parallel to the direction of shearing. In this paper, alternative roughness parameters which consider the direction of shearing are described. These directional parameters are compared with the existing roughness parameters, and the relationship between these directional and non-directional parameters are investigated. The surface roughness was quantified by using the Optical Profile Microscopy (OPM) method (Dove and Frost, 1996) based on the digital image analysis. The results showed that the various surface roughness parameters measured in this study exhibit similar trend of roughness values, so that, good relationships are obtained between these roughness parameters. As the surface roughness increases, the roughness values measured in trisector coupons are increasing higher than those measured in parallel coupons.

• Korean journal of food and cookery science
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• v.17 no.6
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• pp.571-582
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• 2001

The purpose of this study was to identify important selection attributes of customers for dining at family restaurants, and the determinant and predicting factors in customers' intentions of revisiting. A closed-ended questionnaire was used, and a systematic sampling approach was employed to survey a sample of customers in family restaurants. A total of 124 questionnaires were used for analysis among 300 distributed. Multivariate analysis(factor and regression analysis) was performed for 19 selection attributes measured on a five-point scale. A four-dimensional structure(harmonized decoration consistent service, valuable food, and attractive facility) was established from 19 selection attributes. The results of the study showed that three dimensions were significantly related with the customer's intention of revisiting. The dimension of consistent service had the greatest impact on customers' choice. It was clear that a family restaurant manager's emphasis on only one dimension to attract customers might not be as effective as applying a multi-dimensional strategy.

• Journal of Korea Water Resources Association
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• v.44 no.12
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• pp.975-990
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• 2011

In this study, to develop an assessment method for spatio-temporal riverbed changes, a 1-dimensional model (HEC-RAS) and a 2-dimensional model (CCHE2D) were built and applied. As for the analysis of a riverbed's long-term change in a real stream, three new assessment methods were developed, which are called the "Sediment section cumulative curve", "Sediment section moment", and "Sediment probability distribution function." These methods were used to assess the characteristics of riverbed changes using a consistent valuation standard and to understand changes in quantities intuitively. From the results of this study, sediment characteristics of cross sections can be detected effectively by applying the "Sediment section cumulative curve" method to determine whether there is any sedimentation or erosion in total emission. The amount of sedimentation or erosion occurring in the right or left banks, which divided by center column, could be presented as one criterion by applying the "Sediment section moment" method. This approach could be utilized as an indicator for sediment predictions. Spatio-temporal sediment variables can be presented quantitatively by determining the mean and uncertain boundaries through the "Sediment probability distribution function", and finally, the results can be illustrated for each cross section to provide intuitive recognition.

• Korean Journal of Social Welfare
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• v.35
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• pp.319-344
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• 1998

The endeavor to reveal reasons and backgrounds of juvenile's being delinquent has been continuing. Most of them, however, are not multi-dimensional and integrative, but one-dimensional which has had just focused on the factor of family or individual. One of the main purposes of this. study is to get implications on practical programs through the ecological-systematic analysis on factors and processes of juvenile delinquency. In this study, region has separated into two, one is of poor and the other is non, and then informations on factors and process of being delinquent were gathered by comparing between them. Eleven hundreds and sixteen cases were sampled from six junior-high schools which have met the purpose of this study. The survey had been committed with structured questionnaire which had been consisted in several variables; personal; familial; school and peer related; delinquent characteristics. Reliability and validity of each variables had been tested through pilot test. Effects of independent variables on dependent variables were analyzed according to the region through path analysis. In the analysis, remarkable differences on the processes of being delinquent had been found and three path models of being delinquent had been made on the basis of those differences. Each of them has shown different effecting patterns of personal, familial, and school and peer related variables on one's degree of delinquency. In Pattern 1, peer related variables have committed more powerful effects on the degree of delinquency than the others have. School related variables, in Pattern 2, commit most striking effects on the dependent variables. The degree of delinquency in Pattern 3 is most strongly effected by familial variables. The limitations that personal behavior oriented approach might be confronted in the field of juvenile delinquency have been proved by these results of this study. These results have given many implications to us on the needs of distinctive and integrative approaches to the problems of juvenile delinquency.

• Geophysics and Geophysical Exploration
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• v.9 no.3
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• pp.241-249
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• 2006

Due to the long tectonic history and the very complex geologic formations in Korea, the anisotropic characteristics of subsurface material may often change very greatly and locally. The algorithms commonly used, however, may not give sufficiently precise computational results of traveltime data particularly for the complex and strong anisotropic model, since they are based on the two-dimensional (2D) earth and/or weak anisotropy assumptions. This study is intended to develope a three-dimensional (3D) modeling algorithm to precisely calculate the first arrival time in the complex anisotropic media. Considering the complex geology of Korea, we assume 3D TTI (tilted transversely isotropy) medium having the arbitrary symmetry axis. The algorithm includes the 2D non-linear interpolation scheme to calculate the traveltimes inside the grid and the 3D traveltime mapping to fill the 3D model with first arrival times. The weak anisotropy assumption, moreover, can be overcome through devising a numerical approach of the steepest descent method in the calculation of minimum traveltime, instead of using approximate solution. The performance of the algorithm developed in this study is demonstrated by the comparison of the analytic and numerical solutions for the homogeneous anisotropic earth as well as through the numerical experiment for the two layer model whose anisotropic properties are greatly different each other. We expect that the developed modeling algorithm can be used in the development of processing and inversion schemes of seismic data acquired in strongly anisotropic environment, such as migration, velocity analysis, cross-well tomography and so on.