• Steel and Composite Structures
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• v.44 no.1
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• pp.81-89
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• 2022

The purposes of the present work it to study the effect of shear deformation on the static post-buckling response of simply supported functionally graded (FGM) axisymmetric beams based on classical, first-order, and higher-order shear deformation theories. The behavior of postbuckling is introduced based on geometric nonlinearity. The material properties of functionally graded materials (FGM) are assumed to be graded in the thickness direction according to a simple power law distribution in terms of the volume fractions of the constituents. The equations of motion and the boundary conditions derived using Hamilton's principle. This article compares and addresses the efficiency, the applicability, and the limits of classical models, higher order models (CLT, FSDT, and HSDT) for the static post-buckling response of an asymmetrically simply supported FGM beam. The amplitude of the static post-buckling obtained a solving the nonlinear governing equations. The results showing the variation of the maximum post-buckling amplitude with the applied axial load presented, for different theory and different parameters of material and geometry. In conclusion: The shear effect found to have a significant contribution to the post-buckling behaviors of axisymmetric beams. As well as the classical beam theory CBT, underestimate the shear effect compared to higher order shear deformation theories HSDT.

• Journal of Leisure Studies
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• v.10 no.1
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• pp.1-27
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• 2012

According as the number of immigrants has dramatically increased since last 10years, immigrants' acculturation has become a matter of great importance to Korean society. This study reviews theories on acculturation in leisure studies, specifically marginality vs ethnicity theory, assimilation theory and it's extended models, Berry's box and it's extended models, and cross-cultural vs cultural perspectives on acculturation research. Moreover, It also examines domestic research trend for some aspects such as the number of publishing articles a year, major issues and theories applied to domestic studies, methodology and employees. Finally, some kinds of suggestion for domestic studies in the near future are discussed.

• Structural Engineering and Mechanics
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• v.48 no.3
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• pp.351-365
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• 2013

In this paper, unified nonlocal shear deformation theory is proposed to study bending, buckling and free vibration of nanobeams. This theory is based on the assumption that the in-plane and transverse displacements consist of bending and shear components in which the bending components do not contribute toward shear forces and, likewise, the shear components do not contribute toward bending moments. In addition, this present model is capable of capturing both small scale effect and transverse shear deformation effects of nanobeams, and does not require shear correction factors. The equations of motion are derived from Hamilton's principle. Analytical solutions for the deflection, buckling load, and natural frequency are presented for a simply supported nanobeam, and the obtained results are compared with those predicted by the nonlocal Timoshenko beam theory and Reddy beam theories.

• Journal of Distribution Science
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• v.11 no.5
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• pp.63-76
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• 2013

Purpose - For the past several decades, behavioral economics or behavioral decision theory has undergone rapid development. This study provides a critical review of the development of behavioral economics with a focus on what are deemed to be core theories in the field. Starting from the utility function proposed by Daniel Bernoulli in the 18th century, the development history of utility functions until the emergence of the prospect theory is thoroughly reviewed. Some of the experimental results violating the traditionally assumed utility function and supporting the prospect theory value function are summarized. The most representative principles of rational choice are transitivity, independence from irrelevant alternatives (IIA), and regularity. The development of behavioral economics has been triggered by finding counter-examples to these principles. Some of the choice behaviors discussed in this study as counter-examples to the traditional theories of rational choice are the St. Petersburg paradox; the Allais paradox; gambling behavior; and the various context effects including the similarity effect, attraction effect, and the compromise effect. The Elimination-by-Aspects (EBA) model, which was proposed as an explanation for the similarity effect, is discussed in detail as well. Based on the literature review and further analysis, this study summarizes the relationship between the context effects, prospect theory, and EBA model. Research design, data, and methodology - This study provides an extensive literature review on several important theories in the field of behavioral decision theory and adds some critical comments to the theories and the relationships among them. This study first reviews the development of utility functions. Daniel Bernoulli introduced the concept of utility function to solve the St. Petersburg paradox. In the mid-20th century, Herbert Simon proposed the "satisficing" heuristic and presented a value function with a shape different from traditional utility functions. This study highlights the strengths and weaknesses of several utility functions proposed until the emergence of the prospect theory value function. Results - This study posits that prospect theory and EBA model are the two most important theories in the field of behavioral decision theory. They can explain various choice behaviors that traditional utility maximization analysis has been unable to. The application of these models to various fields is further increasing nowadays. This study explains how prospect theory and the EBA model can be used to explain the context effects. Conclusions - The traditional economic theory relies on a single variable called "utility" in explaining consumer choice. However, this study argues that, in investigating consumer choice, several other variables should also be considered. These are the similarity among alternatives, an alternative's prototypicality within the category, the dominance relationship between alternatives, and the reference point in evaluating alternatives. Due to the development of behavioral economics, we are now closer to a more complete understanding of consumer choice behavior than in the past when we had only a single tool called utility.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.2
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• pp.317-325
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• 2016

In recent years, the U.S, Japan, Europe and other developed countries are strategically developing technologies in order to prepare for paradigm shift affecting the electric power industry in a preemptive way. In particular, a chance for new business models and innovation in the electric power industry would rapidly increase with convergence of various technologies including Information and communication technologies. This study gathered up the theories and methodologies, and sorted out emerging technologies for the electric power industry with those theories. In order to find the emerging technologies, first, we identified the possible key issues of the electric power industry in the future using four mining techniques such as STEEP. Second, we drew agenda related with each key issue. Third, we organized candidates of the emerging technologies for solving the agenda and set the priority after evaluating the possibility of technical innovation and business. Finally, we selected the top fourteen of emerging technologies and assessed their feasibility. This study has a methodological significance because the emerging technologies were developed with a market-oriented approach rather than technical-push one that has been primarily used in another studies. The results of this study are able to be used in establishment of technology policy and R&D planning in the electric power industry.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.3
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• pp.389-397
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• 2011

This study tried to integrate the traditional oriental medical theories and results of experimental studies of herbaceous plants on anti-diabetes. And I tried to analyze recent experimental study trend on the anti-diabetic herb. I searched anti-diabetic herb studies on 4 korean databases and 10 korean journals by keywords, 'diabetes', 'blood glucose', 'glycometabolism', 'pancreatic ${\beta}$-cell', etc. In order to see detail review, searching was performed from 2000 to 2010. And I searched 125 study cases concerning anti-diabetic herb and 72 varieties herbaceous plants used in study of anti-diabetes. and I analyzed the choice motives of each herb for anti-diabetic study, the extract methods and anti-diabetic evaluation contents. And I analyzed anti-diabetic herbs from a traditional oriental medical point of view. When the researchers chose herb for anti-diabetic experiment, just 8.8% of the choice was based on the oriental medical evidences. I found that 60.6% of the herb shown to be effective in diabetes experimentally had oriental medical theory-based Properties(性). There were studies with whole plants(16.8%), aqueous extract(45.6%), methanol extract(8.0%), ethanol extract(8.0%) and comparative studies of more than 2 types of extracts or various fractions(18.4%). The most frequent experimental diabetic models was diabetic mouse induced by streptozotocin(STZ)(87.8%). And there were db/db mouse(6.7%), ob/ob mouse(1.1%), etc. 33.6% of all studies just measured hematological indices of diabetes, and 66.4% researches analyzed details. To improve herbaceous plants study on diabetes, we oriental medical scientists have to integrate the oriental medical theories and results of experimental studies.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.73-92
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• 2017

Usability is one of the most important concepts regarding software quality. It can be interpreted as the goodness associated with using the software product. This paper distinguishes the goodness of an individual using experience and the goodness of a product for using. This paper proposes a software quality view model which classifies software quality views into two broad categories of end view and means view. End view includes long-term view and short-term view which is classified further into performer's view on software activity and third party's view on software activity. Means view includes intrinsic view and contingency view. The analysis of ISO 25000 Series SQuaRE demonstrates the necessity to decompose product quality model and quality in use model into five models corresponding to the software quality views respectively. The analysis on playability shows that the universal definition of usability may be an illusion. The results provide the theoretical basis to build a comprehensive and consistent body of knowledge regarding software quality, which is consisted with the set of quality models and the theories explaining the relationships among the elements of the models.

• Steel and Composite Structures
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• v.49 no.2
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• pp.231-244
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• 2023

Many of the recent investigations in the field of geotechnical engineering focused on the bearing capacity theories of multilayered soil. A number of factors affect the bearing capacity of the soil, such as soil properties, applied overburden stress, soil layer thickness beneath the footing, and type of design analysis. An extensive number of finite element model (FEM) simulation was performed on a prototype slope with various abovementioned terms. Furthermore, several non-linear artificial intelligence (AI) models are developed, and the best possible neural network system is presented. The data set is from 3443 measured full-scale finite element modeling (FEM) results of a circular shallow footing analysis placed on layered cohesionless soil. The result is used for both training (75% selected randomly) and testing (25% selected randomly) the models. The results from the predicted models are evaluated and compared using different statistical indices (R² and RMSE) and the most accurate model BBO (R²=0.9481, RMSE=4.71878 for training and R²=0.94355, RMSE=5.1338 for testing) and TLBO (R²=0.948, RMSE=4.70822 for training and R²=0.94341, RMSE=5.13991 for testing) are presented as a simple, applicable formula.

• Geomechanics and Engineering
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• v.34 no.5
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• pp.507-527
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• 2023

Accurately estimation of the geo-mechanical parameters in Artificial Ground Freezing (AGF) is a most important scientific topic in soil improvement and geotechnical engineering. In order for this, one way is using classical and conventional constitutive models based on different theories like critical state theory, Hooke's law, and so on, which are time-consuming, costly, and troublous. The others are the application of artificial intelligence (AI) techniques to predict considered parameters and behaviors accurately. This study presents a comprehensive data-mining-based model for predicting the Young's Modulus of frozen sand under the triaxial test. For this aim, several single and hybrid models were considered including additive regression, bagging, M5-Rules, M5P, random forests (RF), support vector regression (SVR), locally weighted linear (LWL), gaussian process regression (GPR), and multi-layered perceptron neural network (MLP). In the present study, cell pressure, strain rate, temperature, time, and strain were considered as the input variables, where the Young's Modulus was recognized as target. The results showed that all selected single and hybrid predicting models have acceptable agreement with measured experimental results. Especially, hybrid Additive Regression-Gaussian Process Regression and Bagging-Gaussian Process Regression have the best accuracy based on Model performance assessment criteria.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.384-384
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• 2023

To enable the government and local authorities to anticipate the public's response to emergency measures, it is crucial to formulate theories on residents' behavioral reactions and establish appropriate evaluation models that cater to local conditions. However, prior research has primarily relied on simple surveys to assess individual disaster preparedness progress, while in the United States, the National Household Survey explores the behavior, attitudes, and motivations of citizens. Nonetheless, relying on simple survey analyses presents limitations. Therefore, our study aims to develop a social science behavioral analysis model that includes risk perception and emergency preparedness evaluation items for drought. We will achieve this by examining both domestic and foreign behavioral models. The ultimate goal is to present an effective response strategy for managing drought risk that incorporates the developed model. The drought risk perception and behavioral model employed in this study involves evaluating individual risk perception of drought disasters, individual effectiveness, and motivation analysis for drought disasters, government satisfaction with drought disaster management, and individual acceptance of drought prevention policies.