• Advances in nano research
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• v.7 no.5
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• pp.293-310
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• 2019

In this paper, thermal-buckling behavior of the functionally graded (FG) nanocomposite plates reinforced with graphene oxide powder (GOP) is studied under three types of thermal loading once the plate is supposed to be rested on a two-parameter elastic foundation. The effective material properties of the nanocomposite plate are considered to be graded continuously through the thickness according to the Halpin-Tsai micromechanical scheme. Four types of GOPs' distribution namely uniform (U), X, V and O, are considered in a comparative way in order to find out the most efficient model of GOPs' distribution for the purpose of improving the stability limit of the structure. The governing equations of the plate have been derived based on a refined higher-order shear deformation plate theory incorporated with Hamilton's principle and solved analytically via Navier's solution for a simply supported GOP reinforced (GOPR) nanocomposite plate. Some new results are obtained by applying different thermal loadings to the plate according to the GOPs' negative coefficient of thermal expansion and considering both Winkler-type and Pasternak-type foundation models. Besides, detailed parametric studies have been carried out to reveal the influences of the different types of thermal loading, weight fraction of GOP, aspect and length-to-thickness ratios, distribution type, elastic foundation constants and so on, on the critical buckling load of nanocomposite plates. Moreover, the effects of thermal loadings with various types of temperature rise are investigated comparatively according to the graphical results. It is explicitly shown that the buckling behavior of an FG nanocomposite plate is significantly influenced by these effects.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.39-46
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• 2019

This study started with the question of whether the percentage of non-aeronautical revenues at Incheon airport was extremely high when compared with other international airports. Although aeronautical revenues for the airport based on the traditional business model have the limits to grow due to various regulations, stakeholders concerned about improving the competitiveness recently have been interested in increasing non-aeronautical revenues. This study deals with the effect of non-aeronautical revenues at international airports on airport charges as the extent of airport privatization get stronger. To examine hypotheses, we collected international data from trustful sources. Finally, we conducted an empirical analysis of 178 airports worldwide. As a result, the higher the percentage of non-aeronautical revenues at international airports, the lower the airport charges were. Besides, the private equity ratio positively moderated the relationship between the percentage of non-aeronautical revenues and airport charges. Privatization of airports may offset the effects of reduced airport charges through increased commercial activity. Graphical display for moderation effect is offered to facilitate comprehension.

• Advances in nano research
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• v.10 no.3
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• pp.221-234
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• 2021

During the previous few years, phenomenon of bioconvection along with the use of nanoparticles showed large number of applications in technological and industrial field. This paper analyzed the bioconvection phenomenon in magnetohydrodynamic boundary layer flow of a Powell-Eyring nanoliquid past a stretchable cylinder with Cattaneo-Christov heat flux. In addition, the impacts of chemical reaction and heat generation/absorption parameter are considered. By the use of appropriate transformation, the governing PDEs (nonlinear) have been transformed and formulated into nonlinear ODEs. The resulting nonlinear ODEs subjected to relevant boundary conditions are solved analytically through homotopy analysis method which is programmed in Mathematica software. Graphical and numerical results versus physical quantities like velocity, temperature, concentration and motile microorganism are investigated under the impact of physical parameters. It is noted that velocity profile enhances as the curvature parameter A and Eyring-Powell fluid parameter M increases but a decline manner for large values of buoyancy ratio parameter Nr and bio-convection Rayleigh number Rb. In the presence of Prandtl number Pr, Eyring-Powell fluid parameter M and heat absorption parameter ��, temperature profile decreases. Nano particle concentration profile increases for increasing values of magnetic parameter Ha and thermophoresis parameter Nt. The motile density profile has revealed a decrement pattern for higher values of bio-convection Lewis number Lb and bio-convection peclet number Pe. This study may find uses in bio-nano coolant systems, advance nanomechanical bio-convection energy conversion equipment's, etc.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.347-357
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• 2022

The aim of the study is to model demand for full-time Bachelor's Degree Programs in Hospitality and Catering, taking into account the influence of the main determinants in the COVID-19 pandemic. The research used methods of algorithms, correlation and regression analysis, ANOVA, graphical method, deduction and induction, abstraction, etc. It was found that the demand for full-time Bachelor's Degree Programs in Hospitality and Catering is price elastic. It has been argued that it is useful to consider both price and non-price determinants when modelling demand for full-time Bachelor's Degree Programs in Hospitality and Catering. It is proved that the main determinants of demand for full-time Bachelor's Degree Programs in Hospitality and Catering are full-time tuition fee, maximum government order, license volume and Consolidated Ranking of a higher education institution (HEI). In this case, the applicant decides to enrol in a full-time Bachelor's Degree Program in Hospitality and Catering, guided by the optimal ratio of tuition fee and the prestige of the HEI.

• Journal of the Korean Geotechnical Society
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• v.26 no.4
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• pp.47-58
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• 2010

Seepage rate through the core zone of rockfill dam, estimated from graphical technique and the equation by Sakamoto (1998), is different from the real condition because of neglecting unsaturated flow. With existing method to estimate total seepage rate, it is difficult to understand the tendency of total seepage rate changes by reservoir water level change. Steady state seepage rate and the factors affecting the time needed to attain to changes of reservoir water level and saturated hydraulic conductivity and unsaturated hydraulic properties of core material are analysed thorough the 2-D steady and unsteady state seepage analyses of Soyanggang dam. Numerical results revealed that the seepage rate can be expressed by the linear equation form and the value of unsaturated soil parameter n is the most important factor affecting the seepage rate and the time needed to attain steady state. The estimation method presented in this study can be used by the designer and the personnel of dam safety for convenient estimation of seepage rate and quantitative analysis of measured seepage rate without 2-D and 3-D numerical analyses.

• Journal of the Korean Society of Food Culture
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• v.23 no.5
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• pp.621-628
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• 2008

The principal objective of this study was to develop the optimal recipe for muffins containing dried broccoli powder. In this study, broccoli powder was substituted for wheat flour in order to reduce its content. The study was conducted by determining the optimal sensory composite recipe, by preparing muffins with different levels of broccoli powder (A), sugar (B), and butter (C), by C.C.D (Central composite design) and performing sensory evaluation and analysis via RSM (Response surface methodology). The sensory measurements yielded significant values for appearance, flavor (p<0.01), texture (p<0.05), overall quality (p<0.05) and color (p<0.05), whereas instrumental measurements yielded significant values in lightness (p<0.01), redness (p<0.05), yellowness, baking loss rate (p<0.05), hardness (p<0.05), cohesiveness (p<0.01) and gumminess (p<0.05). The optimum formulations processed by numerical and graphical optimization were determined as 13.58g of broccoli powder, 92.02g of sugar, and 71.97g of butter.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.386-386
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• 2022

우리나라에서는 '물의 재이용 촉진 및 지원에 관한 법률 시행규칙' 등 다양한 법률에 따라 특정 규모 이상의 시설에 빗물이용시설을 설치하도록 규정하고 있으며, 지자체에서는 빗물이용시설의 이용을 장려하고자 설치비 및 시설 운영비를 지원하고 있다. 현업에서 빗물이용시설의 설계는 간편식을 이용하여 목표 우수이용률 또는 공급보장률을 만족하는 용량으로 결정하고 있다. 또한, 산정된 빗물이용시설의 용량에 대해서만 경제성 분석을 하고 있으며, 경제성 분석에 포함된 수식에 대한 근거가 부족한 실정이다. 본 연구에서는 기 개발된 빗물이용시설 설계 프로그램인 CARAH(capacity design aid for rainwater harvesting)의 추가 기능으로 경제성 분석을 통한 빗물이용시설의 적정 용량 결정 도구 및 사용자 편의 환경 개발 결과를 제시하고자 한다. 본 연구를 통해 개발된 CARAH의 경제성 분석 도구는 빗물이용시설의 용량, 설치비, 유지보수비용, 지자체의 설치비 지원 및 빗물 이용에 따른 요금 감면액 등을 고려하여 빗물이용시설의 비용편익 비율(benefit cost ratio; BCR) 산정 결과를 제시하는 기능이다. 본 연구에서는 개발된 CARAH의 경제성 분석 도구를 이용하여 기 설치된 광교 신도시의 빗물저류조 5호를 대상으로 경제성 분석을 수행하였으며, 경제성을 고려한 적정 저류 용량을 제시하였다. 경제성 분석 기간은 빗물이용시설의 내용 연수인 30년으로 하였으며, 여러 목표 공급보장률에 따른 최소 저류 용량별 BCR 결과를 비교하여 광교 신도시의 빗물저류조 5호의 적정 저류 용량을 결정하였다. 그 결과, 공급보장률이 60%에 해당하는 저류 용량 341 m3의 BCR이 7.28로 가장 경제적인 빗물이용시설의 저류 용량으로 산정되었다.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.6_3
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• pp.1315-1323
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• 2023

Rehabilitation assistive devices not only assist the rehabilitation therapy and daily life of the disabled and the elderly, but also assist the labor of their caregivers, so various functions are required to improve their quality of life. In this study, a design method considering its practicality is introduced for an active rehabilitation assistive device that can perform both standing and walking assistance by driving various actuators. For this purpose, the force required to assist standing was calculated using statics with the body segmentation method. Also, the overturning stability of the device was verified for various physical conditions and postures. The actuator in the active rehabilitation assistive device was operated by a patient using a graphical user interface in an embedded computer and a touch panel for easy usage. The detailed design was performed for implementation through the help of 3D-CAD and the finite element analysis, and a prototype was produced. Finally, it was proven that the design goal was satisfied by experimental validation.

• Journal of The Korean Association For Science Education
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• v.29 no.2
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• pp.168-178
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• 2009

In this study, we investigated the errors that students committed in the processes of constructing graphs on experimental results by the students' science achievement level. A test of constructing a graph about 'the relationship between the pressure and volume of a gas' was administered to 7th graders (N=145). Results revealed that most students committed errors in the processes of constructing the graph, showing 12 error types in the categories of 'Misinterpreting the variables', 'Mismarking the graphical elements', and 'Misusing the data'. The students in the lower achievement level had more errors than those in the higher achievement level in the two error types, that is 'representing the bar graph' and 'marking the scale in the presented data order', but the results were reversed in the three error types, that is 'marking the independent variable and dependent variable reversely', 'adding the data', and 'neglecting the data'. In the other error types, there were little differences in the frequencies of the errors by students' science achievement level.

• Steel and Composite Structures
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• v.52 no.2
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• pp.145-163
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• 2024

This paper presents six novel hybrid machine learning (ML) models that combine support vector machines (SVM), Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), extreme gradient boosting (XGB), and categorical gradient boosting (CGB) with the Harris Hawks Optimization (HHO) algorithm. These models, namely HHO-SVM, HHO-DT, HHO-RF, HHO-GB, HHO-XGB, and HHO-CGB, are designed to predict the ultimate strength of both rectangular and circular reinforced concrete (RC) columns. The prediction models are established using a comprehensive database consisting of 325 experimental data for rectangular columns and 172 experimental data for circular columns. The ML model hyperparameters are optimized through a combination of cross-validation technique and the HHO. The performance of the hybrid ML models is evaluated and compared using various metrics, ultimately identifying the HHO-CGB model as the top-performing model for predicting the ultimate shear strength of both rectangular and circular RC columns. The mean R-value and mean a20-index are relatively high, reaching 0.991 and 0.959, respectively, while the mean absolute error and root mean square error are low (10.302 kN and 27.954 kN, respectively). Another comparison is conducted with four existing formulas to further validate the efficiency of the proposed HHO-CGB model. The Shapely Additive Explanations method is applied to analyze the contribution of each variable to the output within the HHO-CGB model, providing insights into the local and global influence of variables. The analysis reveals that the depth of the column, length of the column, and axial loading exert the most significant influence on the ultimate shear strength of RC columns. A user-friendly graphical interface tool is then developed based on the HHO-CGB to facilitate practical and cost-effective usage.