• 융합정보논문지
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• 제11권5호
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• pp.138-149
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• 2021

우리 사회가 기하급수적으로 발달하고 있는데 학교는 사회의 발전 속도를 따라잡지 못하고 있으며, 학생들의 성장발달에 맞는 디지털 리터러시 교육을 하지 못하고 있다. 이에 이 연구에서는 학교현장의 디지털 리터러시 교육의 실태와 문제점을 파악하여 디지털 리터러시 교육의 발전 방향을 모색하였다. 2015 교육과정이 운영되는 현재의 학교 실태를 파악하여 우리 학교가 나아갈 디지털 리터러시 교육의 발전 방향을 모색하였다. 첫째, 노후화된 디지털 기기를 교체하고, 학생 개인별로 노트북이나 스마트 기기를 제공하여야 하며, 학교 전체 어디서나 인터넷을 사용할 수 있어야 한다. 둘째, 교사들에게도 다양한 연수 기회를 제공하여 교사 수준에 맞는 디지털 리터러시 교육이 이루어져야 한다. 셋째, 논리적 사고를 표현할 수 있는 코딩교육, 문제를 발견하고 주어진 문제를 컴퓨터 프로그래밍 언어로 자동화하는 알고리즘 영역의 수준을 높이는 소프트웨어 교육이 이루어져야 하며, 그것을 작동해 볼 수 있는 로봇, 3D 프린터 등 디지털 교구가 충분하게 제공되어야 한다.

• 한국측량학회지
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• 제39권4호
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• pp.245-252
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• 2021

지하시설물은 여러 관리 주체들에 의해 필요에 따라 건설되었으며 이는 곧 무질서하고 난립된 형태의 지하 공간 개발을 초래하였다. 이러한 현상은 지하 공간에서의 안전사고를 발생시키는 주요 원인으로 볼 수 있으며 이를 해결하기 위해서는 지하시설물의 체계적인 구축 및 관리에 관한 연구가 이루어져야 한다. 이와 같은 맥락에서 본 연구는 지하시설물 정보의 체계적인 구축·관리 방안과 정보의 정확도와 품질을 제고하기 위하여 공간정보 관련 국제 표준을 준용한 3차원 지하시설물의 데이터 모델을 정립하고, 이를 토대로 논리적 모델을 설계 및 시각화 구현하는 것을 목적으로 한다. 본 연구의 결과를 토대로 지상-지하를 포괄하는 현실 세계와의 일치성이 향상된 지하시설물 정보를 통해 기존 지하정보의 정확도 및 활용도를 제고할 것으로 사료된다. 또한 기존의 2차원 형태의 지하시설물 네트워크 모델과 관로 중심의 3차원 시각화 모델과는 달리 지상과 지하 공간에서의 다양한 객체들을 포함하고 데이터 간 상호 연계 및 운용이 가능한 통합적인 데이터 모델을 제시했다는 점에서 학술적 의의를 가질 것으로 판단된다.

• 융합정보논문지
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• 제11권7호
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• pp.128-135
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• 2021

한국의 대학입시제도는 입학사정관전형에서 학생부종합전형으로 명칭을 바꾸고 학생선발방법의 한 형태로 안정된 시행을 보이고 있으나 교과 성적 외에 비교과 영역의 평가에 대한 공정성 논란은 시행 초반부터 현재까지 진행 중이다. 현재 시행중인 대학입시제도가 우리의 교육 환경에 적합한가를 비롯해 교육 환경 개선에 대한 문제도 지속적으로 제기되고 있다. 반면, 캐나다는 대학입시제도가 국민들의 주요 화두에 오르지는 않는다. 캐나다는 대학 간의 교육에 대한 전국적인 질적 수준의 보편성을 강조하며 대학입시제도를 유지하고 있다. 이에 본 연구의 목적은 캐나다의 교육체계와 대학입시제도의 특징을 캐나다에서 가장 높은 고등교육 이수율을 보이고 있는 퀘벡주를 중심으로 살펴보고 퀘벡주의 전반적인 교육제도 및 목적, 주요 대학의 실제적인 대학입시제도 분석을 통해 우리의 대학입시제도에 대한 시사점을 제시하는 데 있다.

• 한국안전학회지
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• 제37권1호
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• pp.20-29
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• 2022

To stem the ever-prevalent occurrence of industrial accidents in the construction industry, which is emerging as a social problem, efforts must be invested by various stakeholders. Specifically, among stakeholders, the orderer is at the top of a project's decision-making structure. Therefore, the orderer's awareness of safety and health directly affects the process of securing the safety of the overall construction site. In this light, the present study aims to identify differences in the perceptions of each stakeholder regarding the obligatory safety and health measures for clients that have recently been introduced. In addition, it suggests specific implementation plans in the Korean context. The data used for analysis were collected through a survey targeting stakeholders such as orderers, safety managers, and site managers, and the collected data were quantitatively reviewed by using multivariate analysis methods such as analysis of variance. As a result of the analysis, the introduction of safety and health obligations for the owner was found to be necessary, and the designation and operation of safety and health experts as an action plan was deemed reasonable. The authors expect that the results of this study can be used as basic data for revising the related regulations in Korea. Moreover, as a further study, a review of the effectiveness after improving regulations would contribute strongly to the domain.

• 기독교교육논총
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• 제71권
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• pp.97-120
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• 2022

오늘의 한국교회와 신학은 제대로 된 성찰의 부재로 한국 사회로부터 신뢰성 하락과 소통의 부재를 경험하고 있다. 더욱이 코로나19 팬데믹으로 교회는 생존의 문제를 걱정하는 상황에 이르기까지 하였다. 또한 교회와 신학은 시민사회로부터 믿음의 공공성을 회복하지 못하고 있다. 이러한 신학적 과제가 기독교교육에서 전개될 수 있는가? 교회의 공공성 회복은 공공신학에 관심하게 하며, 교육이 공론장의 중요한 영역이라면 이제 기독교교육은 공공성과 시민 민주주의에 대한 교육 철학적 기반을 제공하였던 교육철학자들에게 관심하게 된다. 루소는 근대 교육철학을 연 교육학자로서 18세기에 '자연으로 돌아가라'는 명제를 통해 어린이의 존재에 대해 발견하고 시민사회를 열어가고 있다. 본 연구는 루소의 저서 『에밀』, 『불평등기원론』, 『사회계약론』등에 나타난 그의 교육 철학적 내용을 검토한다. 이러한 연구를 통해 공공영역과 시민사회를 위해 기독교 공공교육론을 위한 교육 철학적 단초로 전개할 수 있다.

• Advances in aircraft and spacecraft science
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• 제8권4호
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• pp.345-372
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• 2021

The analysis of nonlinear vibrations, buckling, post-buckling, flutter boundary determination and post-flutter behavior of a homogeneous curved plate assuming cylindrical bending is conducted in this article. Other assumptions include simply-supported boundary conditions, supersonic aerodynamic flow at the top of the plate, constant pressure conditions below the plate, non-viscous flow model (using first- and third-order piston theory), nonlinear structural model with large deformations, and application of mechanical and thermal loads on the curved plate. The analysis is performed with constant environmental indicators (flow density, heat, Reynolds number and Mach number). The material properties (i.e., coefficient of thermal expansion and modulus of elasticity) are temperature-dependent. The equations are derived using the principle of virtual displacement. Furthermore, based on the definitions of virtual work, the potential and kinetic energy of the final relations in the integral form, and the governing nonlinear differential equations are obtained after fractional integration. This problem is solved using two approaches. The frequency analysis and flutter are studied in the first approach by transferring the handle of ordinary differential equations to the state space, calculating the system Jacobin matrix and analyzing the eigenvalue to determine the instability conditions. The second approach discusses the nonlinear frequency analysis and nonlinear flutter using the semi-analytical solution of governing differential equations based on the weighted residual method. The partial differential equations are converted to ordinary differential equations, after which they are solved based on the Runge-Kutta fourth- and fifth-order methods. The comparison between the results of frequency and flutter analysis of curved plate is linearly and nonlinearly performed for the first time. The results show that the plate curvature has a profound impact on the instability boundary of the plate under supersonic aerodynamic loading. The flutter boundary decreases with growing thermal load and increases with growing curvature.

• 한국어병학회지
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• 제35권2호
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• pp.157-165
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• 2022

Single-cycle viruses generated by reverse genetic technology are replication-incompetent viruses due to the elimination of gene(s) essential for viral replication, which provides a way to overcome the safety problem in attenuated viruses. Infectious hematopoietic necrosis virus (IHNV) is a major pathogen causing severe damage in cultured salmonid species. In the present study, we generated a single-cycle IHNV lacking the transmembrane and cytoplasmic domain in the G gene (rIHNV-GΔTM) and evaluated the prophylactic potential of rIHNV-GΔTM in rainbow trout (Oncorhynchus mykiss). To produce rIHNV-GΔTM, IHNV G protein-expressing Epithelioma papulosum cyprini (EPC) cells were established. However, as the efficiency of rIHNV-GΔTM production in EPC cell clones was not high, fish were immunized with a low-tittered single-cycle virus (1.5 × 10² PFU/fish). Despite the low dose, the single-cycle IHNV induced significant protection in rainbow trout against IHNV infection, suggesting high immunogenicity of rIHNV-GΔTM. No significant difference in serum ELISA titers against IHNV between the rIHNV-GΔTM immunized group and the control group suggests that the immunized dose of rIHNV-GΔTM might be too low to induce significant humoral adaptive immune responses in rainbow trout. The involvement of adaptive cellular immunity or innate immunity in the present significantly higher protection by the immunization with rIHNV-GΔTM should be further investigated to know the protection mechanism.

• Coupled systems mechanics
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• 제11권1호
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• pp.55-78
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• 2022

The main aim of this paper is the identification of the model parameters for the constitutive model of concrete and concrete-like materials capable of representing full set of 3D failure mechanisms under various stress states. Identification procedure is performed taking into account multi-scale character of concrete as a structural material. In that sense, macro-scale model is used as a model on which the identification procedure is based, while multi-scale model which assume strong coupling between coarse and fine scale is used for numerical simulation of experimental results. Since concrete possess a few clearly distinguished phases in process of deformation until failure, macro-scale model contains practically all important ingredients to include both bulk dissipation and surface dissipation. On the other side, multi-scale model consisted of an assembly micro-scale elements perfectly fitted into macro-scale elements domain describes localized failure through the implementation of embedded strong discontinuity. This corresponds to surface dissipation in macro-scale model which is described by practically the same approach. Identification procedure is divided into three completely separate stages to utilize the fact that all material parameters of macro-scale model have clear physical interpretation. In this way, computational cost is significantly reduced as solving three simpler identification steps in a batch form is much more efficient than the dealing with the full-scale problem. Since complexity of identification procedure primarily depends on the choice of either experimental or numerical setup, several numerical examples capable of representing both homogeneous and heterogeneous stress state are performed to illustrate performance of the proposed methodology.

• Smart Structures and Systems
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• 제29권2호
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• pp.267-278
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• 2022

Pre-stressed concrete circular spun piles are widely used in various infrastructure projects around the world and offer an economical deep foundation system with consistent and superior quality compared to cast in-situ and other concrete piles. Conventional methods for measuring the lateral response of piles have been limited to conventional instrumentation, such as electrical based gauges and pressure transducers. The problem with existing technology is that the sensors are not able to assist in recording the lateral stiffness changes of the pile which varies along the length depending on the distribution of the flexural moments and appearance of tensile cracks. This paper describes a full-scale bending test of a 1-m diameter spun pile of 30 m long and instrumented using advanced fibre optic distributed sensor, known as Brillouin Optical Time Domain Analysis (BOTDA). Optical fibre sensors were embedded inside the concrete during the manufacturing stage and attached on the concrete surface in order to measure the pile's full-length flexural behaviour under the prescribed serviceability and ultimate limit state. The relationship between moments-deflections and bending moments-curvatures are examined with respect to the lateral forces. Tensile cracks were measured and compared with the peak strains observed from BOTDA data which corroborated very well. By analysing the moment-curvature response of the pile, the structure can be represented by two bending stiffness parameters, namely the pre-yield (EI) and post-yield (EI_cr), where the cracks reduce the stiffness property by 89%. The pile deflection profile can be attained from optical fibre data through closed-form solutions, which generally matched with the displacements recorded by Linear Voltage Displacement Transducers (LVDTs).

• Smart Structures and Systems
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• 제31권4호
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• pp.325-334
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• 2023

Computer vision-based damage detection enables non-contact, efficient and low-cost bridge health monitoring, which reduces the need for labor-intensive manual inspection or that for a large number of on-site sensing instruments. By leveraging recent semantic segmentation approaches, we can detect regions of critical structural components and identify damages at pixel level on images. However, existing methods perform poorly when detecting small and thin damages (e.g., cracks); the problem is exacerbated by imbalanced samples. To this end, we incorporate domain knowledge to introduce a hierarchical semantic segmentation framework that imposes a hierarchical semantic relationship between component categories and damage types. For instance, certain types of concrete cracks are only present on bridge columns, and therefore the noncolumn region may be masked out when detecting such damages. In this way, the damage detection model focuses on extracting features from relevant structural components and avoid those from irrelevant regions. We also utilize multi-scale augmentation to preserve contextual information of each image, without losing the ability to handle small and/or thin damages. In addition, our framework employs an importance sampling, where images with rare components are sampled more often, to address sample imbalance. We evaluated our framework on a public synthetic dataset that consists of 2,000 railway bridges. Our framework achieves a 0.836 mean intersection over union (IoU) for structural component segmentation and a 0.483 mean IoU for damage segmentation. Our results have in total 5% and 18% improvements for the structural component segmentation and damage segmentation tasks, respectively, compared to the best-performing baseline model.