• Computers and Concrete
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• v.3 no.1
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• pp.1-15
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• 2006

The seismic safety of reinforced concrete containment building can be evaluated by probabilistic analysis considering randomness of earthquake, which is more rational than deterministic analysis. In the safety assessment of earthquake-resistant structures by the deterministic theory, it is not easy to consider the effects of random variables but the reliability theory and random vibration theory are useful to assess the seismic safety with considering random effects. The reliability assessment of reinforced concrete containment building subjected to earthquake load includes the structural analysis considering random variables such as load, resistance and analysis method, the definition of limit states and the reliability analysis. The reliability analysis procedure requires much time and labor and also needs to get the high confidence in results. In this study, random vibration analysis of containment building is performed with random variables as earthquake load, concrete compressive strength, modal damping ratio. The seismic responses of critical elements of structure are approximated at the most probable failure point by the response surface method. The response surface method helps to figure out the quantitative characteristics of structural response variability. And the limit state is defined as the failure surface of concrete under multi-axial stress, finally the limit state probability of failure can be obtained simply by first-order second moment method. The reliability analysis for the multiaxial strength limit state and the uniaxial strength limit state is performed and the results are compared with each other. This study concludes that the multiaxial failure criterion is a likely limit state to predict concrete failure strength under combined state of stresses and the reliability analysis results are compatible with the fact that the maximum compressive strength of concrete under biaxial compression state increases.

• Economic and Environmental Geology
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• v.55 no.6
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• pp.617-632
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• 2022

In recent years, environmental pollution and determining the main factors causing this pollution have become an important issue. This study investigates the relationship between the agricultural sector and environmental pollution in Azerbaijan for 1992-2018. The dependent variable in the study is the agricultural greenhouse gas emissions (CO₂ equivalent). Eight variables were selected as explanatory variables: four agricultural inputs and four agricultural macro indicators. Unit root tests, ARDL boundary test, FMOLS, DOLS and CCR long-term estimators, Granger causality analysis, and variance decomposition analyses were used to investigate the effect of these variables on agricultural emissions. The results show that chemical fertilizer consumption, livestock number, and pesticide use positively and statistically significantly affect agricultural emissions from agricultural input variables. In contrast, agricultural energy consumption has a negative and significant effect. From agricultural macro indicator variables, it was found that the crop and animal production index had a positive and significant effect on agricultural emissions. According to the Granger causality test results, it was concluded that there are a causality relationship from chemical fertilizer consumption, livestock number, crop and livestock production index variables towards agricultural emissions. Considering all the results obtained, it is seen that the variables that have the most effect on the increase in agricultural emissions in Azerbaijan are the number of livestock, the consumption of chemical fertilizers, and the use of pesticides, respectively. The results from the research will contribute to the information on agricultural greenhouse gas emissions and will play an enlightening role for policymakers and the general public.

• Human Ecology Research
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• v.52 no.2
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• pp.151-164
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• 2014

This study was conducted to explore the relationships between the elderly's existential identity and psychological well-being in accordance with the elderly's age-identity so as to improve the quality of life in the elderly with prolonged lives. The data were collected from respondents who were more than 60 years in age who live in city Suncheon. The statistics used for the data analysis were reliability, frequency, percentage, mean, standard deviation, one way analysis of variance, and multiple regression. The results of this study were as follows: (1) A majority of the elderly (49.8%) acknowledged psychological age as actual age. (2) The degrees of the elderly's existential identity was 54.90, while the degree of the elderly's psychological well-being was 33.07. (3) The elderly's existential identity level was significantly affected by economic state, spouse, age-identity, monthly living expenses, household, religion, career, age, and health state. Further, the elderly's psychological well-being level was significantly affected by existential identity, economic state, spouse, health state, age-identity, monthly living expenses, household, education, career, and age. (4) The variables that affect the elderly's existential identity were age-identity, economic state, health state, religion, monthly living expenses, and career, indicating an explanatory power of 38%. Moreover the variables that affect the elderly's psychological well-being were existential identity, age-identity, economic state, health state, and monthly living expenses, explaining approximately 55% of the total variance.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.10
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• pp.9-16
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• 2004

The state assignment for a finite state machine greatly affects the delay, area, power dissipation, and testabilities of the sequential circuits. In order to improve the testabilities and power consumption, a new state assignment technique based on m-block partition is introduced in this paper. The algorithm minimizes the dependencies between groups of state variables are minimized and reduces switching activity by grouping the states depending on the state transition probability. In the sequel the length and number of feedback cycles are reduced with minimal switching activity on the state variables. Experiment shows significant improvement in testabilities and Power dissipation for benchmark circuits.

• PNF and Movement
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• v.15 no.3
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• pp.281-290
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• 2017

Purpose: The purpose of this study was to examine the effect of an 8-week competitive exercise program on physical fitness, psychological variables, and video-game playtime in game-addicted adolescents. Methods: All subjects were screened by a game behavior diagnosis scale questionnaire, and a total of 7 game-addicted, male adolescents ($16{\pm}2$ yrs of age) participated in the study. All subjects were informed of the study's purpose, procedures, and risks, and a consent form was obtained from each subject. The 8-week soccer and basketball exercise program included twice-weekly sessions of 120 minutes per session. All data were presented as $mean{\pm}SE$, and the variables were analyzed with a paired t-test. Results: Following the 8-week intervention, cardiovascular endurance and grip strength were significantly increased (approximately 17 and 7%, respectively [p<0.05]). Although there was no statistical significance on flexibility, vertical jump, and zigzag-run, all variables showed an increasing tendency. Anxiety levels changed from a mild anxiety state to a normal state, and depression levels also altered from moderate to a normal state. The video-game playtime was reduced about 20% during weekends and vacation periods. Conclusion: Given these combined results, 8 weeks of regular participation in competitive exercise (soccer/basketball) may contribute to positive effects on physical fitness, psychological variables, and video-game playtime in computer-game addicted adolescents.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.433-436
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• 1990

An optimal Stabilization technique for a bilinear in duction model is introduced. This technique includes to o parts; the one is an stabilization control using Lyap unov Function which has the form of a sum of linear and quadratic function of the state variables, and the other is an optimal control using the performance index which depends on the choice of the elements of the Ly apunov matrices concerning both the state variables and the input variables. Therefore, induction motor is drived with the shorter transient time of the state variables and with the smaller overshoot of the ones, simulation results are obtained from a digital computer. Experimental ones are obtained from implementation of the optimizing controller using 8086 microprocessor kits and analog circuits are compared.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.999-1007
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• 2020

This study aimed to investigate the influence of spiritual leadership on innovative work behavior and the effect of knowledge sharing on job crafting. Furthermore, the roles of knowledge sharing as a mediator for the impact of spiritual leadership on innovative work behavior, and job crafting as a mediator for the relationship between variables, were also examined. This research employed quantitative analysis, including the PLS-SEM approach; SMART-PLS, a measurement and structural equation model was employed to explain the relationship between variables, and the effect of mediation. The population study consisted of all lecturers at the Faculty of Economics and Faculty of Economics and Business at the PTKIN in East Java, Indonesia, comprising 220 randomly-selected samples. The result showed spiritual leadership does not directly influence innovative work behavior, while knowledge sharing directly affects job crafting. The findings indicated knowledge sharing mediates the impact of spiritual leadership on innovative work behavior, and the role of job crafting as a mediator for the relationship between variables was accepted. Therefore, this research confirms a positive influence of knowledge sharing on job crafting, and indicates both factors play an important role in mediating between variables, and are important for lecturers' innovative work behavior.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.11-18
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• 2020

This paper analyzes factors affecting enterprise's financial risk listed on the Vietnam stock market. The panel data of research sample includes 524 non-financial listed enterprises on the Vietnam stock market for a period of eleven years, from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, financial risk is measured by the Alexander Bathory model. Debt structure, Solvency, Profitability, Operational ability, Capital structure are independent variables in the study. Firm Size, firm age, growth rate are control variables. The model results show that in order to prevent and limit financial risk for enterprises listed on the Vietnam Stock Market, attention should be paid to variables reflecting Liability structure ratio, Quick Ratio, Return on Assets, Total asset turnover, Accounts receivable turnover, Net assets ratio and Fixed assets ratio. The empirical results show that there are differences in the impact of these factors on the financial risk in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to improve the efficiency of financial risk management in enterprises.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.311-325
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• 2011

The purpose of this study was to analyze patterns of time usage of the retired elderly so as to improve their quality of life. The subjects of this study were 225 elderly people in Jeonnam Province. The statistics used for data analysis were frequency, percentage, mean, standard deviation, t-test, and multiple regression. The major findings were as follows : (1) The retired elderly spend more time in physiological activities and leisure, and there was no day difference in time use. (2) On weekdays, the variables affecting labor time were age, former job, health state, and education. On the weekends, education, health state, and former job had significant effects on the amount of time spent on labor. (3) The variables affecting participation and volunteer time were: monthly living expenses, age, spouse, former job, and house, on weekdays, and on the weekends, significant factors were spouse, age, and former job. (4) The variables affecting leisure time were education, age, monthly living expenses, religion, and economic state, on the weekdays, and on weekends, the significant factors were education, economic state, house, religion, and former job.

• Journal of Industrial Technology
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• v.22 no.B
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• pp.3-12
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• 2002

Monte-Carlo simulation technique has advantages over deterministic simulation in various engineering analysis since Monte-Carlo simulation can take into consideration of scattering of various design variables, which is inherent characteristics of physical world. In this work, Monte-Carlo simulation of steady-state cornering behavior of a truck with design variables like hard points and busing stiffness. The purpose of the simulation is to improve understeer gradient of the truck, which exhibits a small amount of instability when the lateral acceleration is about 0.4g. Through correlation analysis, design variables that have high impacts on the cornering behavior were selected, and significant performance improvement has been achieved by appropriately changing the high impact design variables.