• Structural Engineering and Mechanics
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• v.30 no.2
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• pp.177-190
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• 2008

Material failure behavior is generally dependent on loading rate. Especially in brittle and quasi-brittle materials, rate dependent material behavior can be significant. Empirical formulations are often used to predict the rate dependency, but such methods depend on extensive experimental works and are limited by practical constraints of physical testing. Numerical simulation can be an effective means for extracting knowledge about rate dependent behavior and for complementing the results obtained by testing. In this paper, the failure behavior of a brittle material under different loading rates is simulated by molecular dynamics analysis. A notched specimen is modeled by sub-million particles with a normalization scheme. Lennard-Jones potential is used to describe the interparticle force. Numerical simulations are performed with six different loading rates in a direct tensile test, where the loading velocity is normalized to the ratio of the pseudo-sonic speed. As a consequence, dynamic features are achieved from the numerical experiments. Remarkable failure characteristics, such as crack surface interaction/crack arrest, branching, and void nucleation, vary in case of the six loading cases. These characteristics are interpreted by the energy concept approach. This study provides insight into the change in dynamic failure mechanism under different loading rates.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3055-3073
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• 2019

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm's parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.117-137
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• 2024

ESG has become a necessity for all companies, and major Korean banks are actively practicing ESG management. Banks are playing a role in providing ESG finance as intermediaries in the supply of funds. Recently, they have launched ESG digital banking products that offer preferential interest rates for eco-friendly activities in combination with digital technologies. However, indiscriminate provision of preferential interest rates can adversely affect profitability of banks, and they may face the problem of 'Greenwashing' if they do not contribute to improving environmental awareness. Therefore, this study selected ESG digital savings products linked to electricity savings as the subject of the study, and empirically analyzed consumers' environmental awareness and savings behavior through actual data of consumers (N=2,478). The main findings of this study are as follows First, the analysis of the consumer status of ESG digital banking products shows that the 30-50s are the main consumer base, and the MZ generation shows relatively high performance in achieving preferential interest rates through electricity saving practices. Second, consumers' environmental awareness has a significant impact on achieving the goals of ESG banking products. ESG banking products can contribute to environmental awareness while fulfilling the basic function of saving. Third, environmental awareness did not drive consumers' savings contribution behavior, suggesting the need for continued consumer engagement. Based on environmental awareness and the theory of saving behavior, this study provides a theoretical explanation in ESG financial products. The results suggest that the appropriateness of the preferential interest rate design of ESG financial products is important.

• Journal of Environmental Science International
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• v.29 no.2
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• pp.145-154
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• 2020

The purpose of this study is to examine the differences of use behavior and environmental perception of a park and to analyze the influence of environmental perception factors on park satisfaction among 7 parks in Suseong-gu, Daegu. The data from the 255 questionnaires of young adults (30-59) and old adults (more than 60) who use the park more than once a week were used for the analysis. In terms of park use behavior, young adults used the park for walking and jogging mainly on weekday evenings, while old adults used the park for walking and rest mainly during weekday daytimes. In addition, old adults used the park more times a week than young adults, and spent more time in the park. In the analysis of the environmental perception of the park, similar results were found in both age groups but overall, old adults were more satisfied with the park environment than the young adults. As a result of analyzing the influence of environmental perception factors, it was determined that park satisfaction in young adults has a significant influence on 'use amenity', 'use convenience', 'facility suitability', and 'landscape diversity' in this order. On the other hand, park satisfaction for old adults has an influence on 'use amenity', 'facility suitability', and 'use convenience' in this order. The findings of this study can be used as an effective basic data for future park planning considering age groups.

• Journal of the Korean housing association
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• v.7 no.2
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• pp.9-17
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• 1996

The Purpose of this study is to understand the relationship between residential environment and healthy behavior by examining the effect of environmental stress on psychology and physiology. With anxiety, the acute environmental stressor activates sympathy nerve system and the chonic environmental stressor activates the intenal secretion system because this stress induces depression. Thus, we could find that the continuity of these kinds of stresses brings the chronic disease.

• Journal of the Korean Home Economics Association
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• v.42 no.8
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• pp.15-32
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• 2004

The purpose of this study is to develop an environmental education program for environmentally friendly consumer behaviors by analyzing factors influencing the attitude-behavior relationship, and examining consumer information needs about environmental problems. Environmental information demanded by consumers could be classified into five main areas; 'use and disposal of environmentally friendly resources', 'purchase of environmentally friendly goods', 'environmental problems and consumer sovereignty', 'environmental laws and regulations' and 'environmental values and consumer's civil consciousness'. Based on the study results, an environmental education program for consumers was developed which consisted of two main parts, basis and practice. The former aimed to strengthen consumer consciousness about environmental problems and the latter, to make regular environmentally friendly consumer behaviors. The two parts were correlated. Thus strengthening environment-related consumer consciousness by learning the part of basis could promote of environmentally friendly consumer behaviors.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.124-127
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• 1997

In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is simulated and suppressed by other robot using communication. Finally much simulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• Korean Journal of Human Ecology
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• v.6 no.2
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• pp.1-12
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• 2003

This study is designed to analyse the difference between consciousness and behaviors for environmental preservation dependant on independent variables and to identify factors that affect the behaviors of environmental preservation. For this study, a questionnaire that included measurements of environmental preservation consciousness and behaviors was produced as a studying tool. Targets were 520 boy and girl students in the second grade of two high schools in Gwangju and three high schools in small districts of Chonnam Province and 482 questionnaires were distributed for the analysis. The data collected was analysed using SAS Program Package to obtain frequency, percentage, standard deviation, and correlation and T-Test One-way ANOVA, Duncan's M411ip1e Range Test, Multiple Regression were performed. The results of the analyses are as follows : 1. Overall, environmental preservation consciousness is higher than preservation behaviors. Interest in air pollution is the highest in both environmental preservation consciousness and behaviors and it is low in recycling. 2. The environmental preservation consciousness has a significant difference dependant on sex, regions, order of birth, educational background of parents and income level. the performing degree of environmental education, consciousness about kinds of environmental preservation, and whether the learning of theory and practice of environmental education is performed. 3. The environmental preservation behaviors has a significant difference dependant on regions, educational background of mother, mother's job, income level, acquiring of information, performing degree of environmental education and consciousness of kinds of environmental education. 4. Variables that affect environmental preservation behavior are environmental preservation consciousness, acquiring information, performing degree of environmental education and awareness of environmental preservation. Their power of explanation is 15%.

• Journal of Korean Academy of Nursing
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• v.51 no.4
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• pp.478-488
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• 2021

Purpose: This study aimed to develop and examine the effects of a prenatal program on environmental health behavior using cartoon comics among Korean pregnant women. Methods: This study used a non-equivalent control group pre-test/post-test design. The program used cartoon comics to explore environmental health behaviors during pregnancy. The program consisted of the following four components: environmental toxicants during pregnancy, avoiding particulate matter during pregnancy, environmental toxicants during baby care, and making a healthy environment for children. In total, 35 pregnant women participated in the study: 18 in the experimental group and 17 in the control group. Data collection and program adaptation were conducted between November 3, 2020 and January 19, 2021. The effect of the prenatal education program was evaluated by t-test and repeated measures ANOVA. Results: Learning experience (t = - 2.35, p = .025), feasibility (t = - 2.46, p = .019), satisfaction (t = - 2.23, p = .032) were higher in the experimental group than in the control group in the first post-test. Feasibility (t = - 2.40, p = .022) was higher in the experimental group than in the control group in the second post-test. Repeated-measures ANOVA showed significant interactions between time and group in environmental susceptibility (F = 9.31, p < .001), self-efficacy (F = 3.60, p = .033), and community behavior (F = 5.41, p = .007). Conclusion: This study demonstrates the need for a prenatal education program to promote environmental health perceptions and behavior during pregnancy. We suggest a prenatal class adopting the creative cartoon comics to promote the maternal environmental health behaviors.