• 한국항해항만학회지
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• 제31권4호
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• pp.281-287
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• 2007

Human factors have been considered the primary reason of marine accidents. Especially, the collision between vessels is mostly mused by human behavior. However, there have not been many researches to clarify the reason of marine accidents mused by human factors quantitatively. In order to understand human factors and to enhance safe navigation systematically, using a full mission ship-handling simulator, we've investigated the characteristics of avoiding behavior taken by mariners. Further in order to apply the characteristics more widely and effectively, it's necessary to formulate the standard behavior for ship-handling in the condition of collision avoidance. Is this study, therefore, we intended to propose the concept to model the mariner's standard behavior on the handling of collision avoidance as the first step. As a result, we confirmed the contents of information processing in ship-handling that mariner's generally taking to avoid collision.

• 무역학회지
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• 제46권4호
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• pp.131-148
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• 2021

This study examines how corporate social responsibility (CSR) affects corporate tax avoidance behavior. Using a sample of publicly listed U.S. firms, we find that legal CSR-which is required by law-reduces the level of corporate tax avoidance because this type of CSR reduces information asymmetry between investors and corporate management in such a way that investors are less likely to perceive tax avoidance behavior as a risk. On the other hand, we find that the relationship between normative CSR-which is a voluntary type of CSR behavior-and tax avoidance is not statistically significant. Instead, our additional analysis reveals that normative CSR increases the level of corporate tax avoidance conditional on reporting quality. This study provides meaningful implications to the academic literature and to practitioners. Not only does this study highlight the fact that not all CSR are alike, it highlights that it is important to provide transparent CSR information in order to allow stakeholders to estimate the net effects of firms' CSR activities and tax payment.

• 대한가정학회지
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• 제37권8호
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• pp.73-90
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• 1999

The purpose of this study was to find the general trends of college students'dating violence and coping behavior, to examine the difference among dating violence and coping behavior according to individual variables and relational variables, and to analyze the effects of these variables influencing coping behavior. The major findings were as follow; First, 99.1% of respondents reported that they had experienced violence at least once. The score of violence offense and violence victimization was lower than median. But male students' sexual violence was significantly higher than females'. Second, total score of coping behavior was lower than median. The score of female students positive coping was significantly higher than males, and that of mate students' avoidance coping was significantly higher than females. Third, the violence style varied with sex, altitude toward violence, anti-communication, and conflict. etc. Fourth, the positive coping behavior varied with victim response and victimization of physical violence. etc. The avoidance coping behavior varied with sex, age, grade, sex-role attitude, and partner's sexual violence. etc. ruth, the positive coping behavior was influenced by sex, partner's psychological violence, conflict, anti-communication. etc. The avoidance coping behavior was influenced by sex and grade.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권12호
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• pp.679-688
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• 2003

In order to navigate the mobile robots safely in unknown environments, many researches have been studied to devise navigational algorithms for the mobile robots. In this paper, we propose a navigational algorithm that consists of an obstacle-avoidance behavior module, a goal-approach behavior module and a radial basis function network(RBFN) supervisor. In the obstacle-avoidance behavior module and goal-approach behavior module, the fuzzy-artificial immune networks are used to select a proper steering angle which makes the autonomous mobile robot(AMR) avoid obstacles and approach the given goal. The RBFN supervisor is employed to combine the obstacle-avoidance behavior and goal-approach behavior for reliable and smooth motion. The outputs of the RBFN are proper combinational weights for the behavior modules and velocity to steer the AMR appropriately. Some simulations and experiments have been conducted to confirm the validity of the proposed navigational algorithm.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.31-42
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• 2024

Today, news avoidance has become an inevitable trend, particularly exacerbated since the outbreak of the COVID-19 pandemic in 2020. To delve deeper into the shifting tendencies of news consumers towards news avoidance and unveil the motivations behind this avoidance, this study recruited 500 Chinese news consumers aged between 20 and 60 years old, employing survey questionnaires as the research method. Through an indepth examination of their news consumption behavior at different stages of the COVID-19 pandemic, we discovered that individuals' risk perceptions and efficacy beliefs significantly influence their patterns of news consumption. Furthermore, we identified negative emotions, information overload, and media distrust as the primary reasons for news avoidance among Chinese news consumers during the COVID-19 crisis. These findings Not only provide crucial insights into understanding the dynamics of news consumption behavior but also offer valuable reference points for the news industry to better fulfill its role and value during crises in the future.

• Environmental Analysis Health and Toxicology
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• 제22권3호
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• pp.247-254
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• 2007

This study was performed with the questionnaire survey on mercury knowledge and mercury exposure avoidance behavior, which was conducted among 1076 dental personnel in September, 2004. As for the factors effecting the mercury knowledge, it seems that they are closely related with the personnel's educational backgrounds, and their understandings of causing environmental hazardousness in the dental offices. And also, the factors effecting the behavior of mercury exposure avoidance are strongly connected with the knowledge points on mercury, the knowledge of air states in the dental clinic offices, the use of pincettes and gloves in squeezing, and rubber dam and gloves in mulling, the experience of environmental education on mercury, etc. In the survey, the higher points in mercury knowledge is closely related with the higher points in the behavior of mercury exposure avoidance. Nevertheless, the very fact that the lower points in the behavior among personnel takes on the aspect of the relatively higher points in knowledge on mercury may be understood that the generally acquired knowledge on mercury cannot be the critical factor of the behavior of mercury exposure avoidance.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권9호
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• pp.402-412
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• 2002

The navigation algorithms enable autonomous mobile robots to reach given target points without collision against obstacles. To achieve safe navigations in unknown environments, this paper presents an effective navigation algorithm for the autonomous mobile robots with ultrasonic sensors. 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 fuzzy-based decision maker combines the steering angles from the target-reaching behavior and the obstacle-avoidance behavior in order to steer the autonomous mobile robot appropriately. Simulational and experimental results show that the proposed navigation algorithm is very effective in unknown environments.

• 대한교통학회지
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• 제27권4호
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• pp.137-143
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• 2009

고속도로에서 전방 시인이 용이하지 않은 구간에 사고차량이 존재 할 경우, 사고차량과의 충돌을 사전에 예방하기 위한 운전지원정보의 필요성이 높아지고 있다. 본 연구는 충돌방지정보 제공에 따른 운동행동에 미치는 영향을 드라이빙 시뮬레이터를 이용하여 검토하였다. 충돌방지정보를 교통상황에 따른 위험 정도에 따라 주의, 경계, 경고정보의 3단계로 나누어 검토하였고, 차량기기를 통해 제공된 정보에 대한운전자의 시인행동 및 사고차량과의 충돌회피를 위한 운전행동을 분석하였다. 또한, 제공된 정보에 대한 중요성 평가를 실시하였다. 실험 결과에 따르면, 충돌방지정보를 두 단계로 나누어 연속으로 제공할 경우에 사고발생을 낮추는 데에 효과가 있었고, 또한 두 번째 제공되는 정보는 시각정보보다는 청각 중심의 정보가 제공되어야 한다는 것을 밝혔다.

• 식품보건융합연구
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• 제7권1호
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• pp.17-26
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• 2021

The purpose of this study was to develop strategies and policies for smoking prevention that are tailored to the characteristics of different groups of smokers. The structured survey was conducted with regular smokers. The results were as follows: It has been demonstrated that Risk Perception Attitude framework can be used as a major research framework to predict behavioral changes related to the prevention of smoking. The smokers were divided into four attitude groups based on perceived risks and self-efficacy: indifference, proactive, avoidance, and responsive. The smoker groups showed significant differences in information seeking, information avoidance, prevention behavior and addiction degree. Especially, the difference in prevention behavior depended on the self-efficacy when the perceived risk level was high. Information avoidance was the lowest when the perceived risk level was high and the self-efficacy was low. Information seeking was lowest when the perceived risk level was low. When the level of self-efficacy was high, if the perceived risk level was high, prevention behavior was actively performed. Therefore, the self-efficacy was related to preventive behavior, and the perceived low-risk played a role in hindering information seeking. Smoking prevention strategies are important to raise awareness of the risk of smoking and to improve the positive willingness of smokers to quit smoking through self-efficacy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.266-268
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• 2005

Recently, the ability of sensing obstacles by oneself and creating suitable moving path in mobile robots are required to provide various kinds automation services. Therefore, in this paper, we studied the avoidance behavior of mobile robots from dynamic obstacles using potential function that minimizes distance and time. We examined the performance of the proposed algorithm by comparing the method of based on the geometrical experience in simulations.