• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.134.6-134
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• 2001

The purpose of navigation algorithm is to reach a given target point without collision with obstacles while an autonomous mobile robot is navigating. To achieve a safe navigation, this paper presents an effective navigation algorithm for the autonomous mobile robot equipped with ultrasonic sensors in unknown environments. The proposed navigation algorithm consists of an obstacle-avoidance behavior, a target-reaching behavior and a fuzzy-based decision maker. In the obstacle-avoidance behavior and the target-reaching behavior, artificial immune networks are used to select a proper steering angle, make the autonomous mobile robot avoid obstacles and approach a given target point. The decision maker using fuzzy inference systems weights the steering angles selected ...

• Journal of Institute of Control, Robotics and Systems
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• 제18권9호
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• pp.812-818
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• 2012

In this paper, we propose an asynchronous behavior control algorithm of the swarm robot for surrounding intruders when detected an intruder in a surveillance environment. The proposed method is divided into three parts: First, we proposed the method for the modeling of a state of the swarm robot. Second, we proposed an asynchronous behavior control algorithm for the surrounding an intruder by the swarm robot. Third, we proposed a control method for the collision avoidance with the swarm robot. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• The Transactions of the Korean Institute of Electrical Engineers D
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• 제52권8호
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• pp.471-481
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• 2003

The acts of biological immune system are similar to the navigation for autonomous mobile robots under dynamically changing environments. In recent years, many researchers have studied navigation algorithms using artificial immune networks. Conventional artificial immune algorithms consist of an obstacle-avoidance behavior and a goal-reaching behavior. To select a proper action, the navigation algorithm should combine the obstacle-avoidance behavior with the goal-reaching behavior. In this paper, the neural network is employed to combine the behaviors. The neural network is trained with the surrounding information. the outputs of the neural network are proper combinational weights of the behaviors in real-time. Also, a velocity control algorithm is constructed with the artificial immune network. Through a simulation study and experimental results for a autonomous mobile robot, we have shown the validity of the proposed navigation algorithm.

• International Area Studies Review
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• 제15권3호
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• pp.493-511
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• 2011

This study investigate the impacts of Chinese consumers' cultural dispositions on the WOM behaviors in SNS. Specifically, cultural dispositions in the individual-level, collectivism and uncertainty avoidance, were examined as potential predictors of eWOM behaviors in SNSs. Hypotheses are tested with a sample of 164 university students in Shanghai, China. The results of the structural equation analysis reveal that chinese consumers' collectivism in the individual-level positively affects the opinion seeking behavior. And chinese consumers' uncertainty avoidance in the individual-level positively affects the opinion seeking behavior and negatively affects the opinion giving behavior. Lastly, the opinion giving behavior positively affects the pass along behavior. Theoretical and managerial implications for Internet marketers in China were presented and discussed.

• Korea Trade Review
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• 제47권5호
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• pp.321-336
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• 2022

The purpose of this study aims to investigate how consumer awareness and purchasing behavior are affected by the type of animosity against the nation. This study classified animosity into three categories: sociocultural, economic, and war-based. Additionally, the consumer's cognition toward animosity was split into two categories-empathic concernt and personal distress-and the direction of consumption behavior was split into two categories-individual brand avoidance behavior and collective bandwagon behavior. The concept of Fear of Missing Out (FoMO) was introduced for the direction of consumption behavior, further validating the moderating impact. Structural equation modeling method was used to measure the general consumption behvior of Korean consumers' animosity. The results were analyzed using a total of 279 samples. As a result, animosity motivated by war and by economics had a substantial impact on empathic concern, while animosity motivated by socioculture had a significant impact on personal distress. Personal distress had a good impact on an individual's brand antipathy behavior, which in turn led to brand dislike and avoidance. Empathic concern also had a positive impact on the phenomena of group sympathy, which leads to identification of conduct and social conformity. Also, it was proven that the group that had a high level of FoMO reacted strongly to the phenomenon of group collective behavior.

• Journal of Families and Better Life
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• 제23권4호
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• pp.27-34
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• 2005

The purpose of this study was to identify the patterns of coping with marital conflict and child-rearing stress among mothers of young children. The participants were 166 mothers of children who were between 3 years and 7 years of age, living in the North Kyongsang Province. Paired t-test, ANOVA, Scheffe' test, Pearson's correlation and partial correlation analyses were conducted for this study. The results of this study were as follows. (1) In those situations where the participants experienced marital conflict and child-rearing stress, they were more likely to use an avoidance coping strategy than an approach coping strategy. (2) Among the mothers who were experiencing marital conflict or child-rearing stress, the group that suffered a higher level of stress was more likely to employ an avoidance coping strategy. However, there were no differences in the approach coping behavior by the level of stress. (3) When the level of marital conflict and child-rearing stress were controlled, approach coping behavior with marital conflict was still moderately correlated with approach coping behavior with child-rearing stress.

• The Korean Journal of Community Living Science
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• 제17권4호
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• pp.137-149
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• 2006

The purpose of this study was to examine the relation of middle school students' stress in relation to certain variables, those of grade, gender, academic achievement, coping behavior and self-concept. The subjects were 574 students selected from 4 middle schools in the Incheon area. The instruments included a stress index, coping behavior questionnaire and self-concept inventory. The statistics used from this data were t-test, one-way ANOVA (Scheff test), correlation analysis and multiple regression analysis. This study showed that middle school students' stress was influenced significantly by the grade, gender and achievement in school. Also, coping behavior and self-concept were influenced significantly by the grade, gender, and achievement in school. Correlation analysis indicated that student's stress and certain coping behavior were postively correlated, especially avoidance coping behavior indicated a higher correlation to students' stress than active coping behavior. The relationship between stress and self-concept indicated a negative high correlation. It was also found that avoidance coping behavior, family self-concept, general self-concept, school and class self-concept, grade and academic achievement were significant predictors of middle school students' stress.

• Journal of Distribution Science
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• 제21권6호
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• pp.83-89
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• 2023

Purpose: This paper considers the issue of corporate tax avoidance (CTA) in the distribution of the tax burden across companies in Vietnam because the high level of CTA leads to unfairness in taxation. In particular, we aim for discussing the way to measure the extent of CTA and explore the determinants of CTA that reflect the features of high-tax risk-taking companies. Research design, data and methodology: The study investigates factors influencing the CTA behavior of legal entities listed on the Vietnam stock market between 2012 and 2018 to fill the empirical research vacuum in the country. we employ the dynamic GMM estimate method. Interestingly, CTA is considered through three approaches, including two effective-tax-rate-based methods and especially accrual earnings Results: The results highlight tax - accounting book disparities have significant effects on CTA. In addition, firm size, net asset value, debt leverage, and tax-accounting books are related to CTA. Conclusions: Tax avoidance is shown to have a positive correlation with financial distress in this case. The higher a company's capital adequacy ratio, the fewer tax avoidance opportunities it has. The paper draws some recommendations to deal with tax avoidance that improves the fairness in the distribution of the tax burden among corporations.

• Journal of the Korean Society of Industry Convergence
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• 제17권2호
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• pp.35-41
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• 2014

This paper describes the obstacle avoidance architecture to walk safely around in factory and home environment, and presents methods for path planning and obstacle avoidance for the humanoid robot. Solving the problem of obstacle avoidance for a humanoid robot in an unstructured environment is a big challenge, because the robot can easily lose its stability or fall down if it hits or steps on an obstacle. We briefly overview the general software architecture composed of perception, short and long term memory, behavior control, and motion control, and emphasize on our methods for obstacle detection by plane extraction, occupancy grid mapping, and path planning. A main technological target is to autonomously explore and wander around in home environments as well as to communicate with humans.

• Journal of IKEEE
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• 제22권3호
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• pp.866-869
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• 2018

This paper presents the analysis of the human driving behavior based on the expression as a GMDH technique focusing on the driver's collision avoidance maneuver. The driving data are collected by using the three dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. A GMDH is also introduced and applied to the measured data in order to build a mathematical model of driving behavior. From the obtained model, it is found that the longitudinal distance between cars($x_1$), the longitudinal relative velocity($x_2$) and the lateral displacement between cars($x_4$) play important roles in the collision avoidance maneuver under the 3D environments.