• Child Health Nursing Research
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• 제7권3호
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• pp.371-382
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• 2001

This study was conducted to investigate correlation theory of planned behavior, self efficacy and health locus of control about smoking cessation behavior for university student. We sampled 204 university student smokers using questionnaires and analyzed the data using Pearson correlation coefficient. The results of this study were as follows : 1. There were significant positive correlation between theory of planned behavior(intention : r=.215, p=.005, attitude : r=.160, p=.025, perceived behavior control : r=.298, p=.000) and self efficacy. 2. There were significant positive correlation between theory of planned behavior(attitude : r=.228, p=.002) and internal health locus of control. There were significant positive correlation between theory of planned behavior(attitude : r=.203, p=.004, subjective norm : r=.141, p=.047) and external health locus of control. There were significant negative correlation between theory of planned behavior(perceived behavior control : r=-.152, p=.034) and accidental health locus of control. This study has shown a correlation between theory of planned behavior and self efficacy and health locus of control. As a result of these findings, I suggest to develop the intervention program for smoking cessation.

• 대한기계학회논문집A
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• 제27권7호
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• pp.1146-1151
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• 2003

In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

• 임상간호연구
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• 제30권1호
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• pp.24-34
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• 2024

Purpose: This study aimed to identify factors influencing nurses' intention to care for COVID-19 patients based on the theory of planned behavior, and to test the moderating effect of perceived behavior control between attitude, subjective norms, and nurses' intention to care. Methods: The participants were 167 nurses working at two designated hospitals for infectious diseases located in J and C city, South Korea. Data were collected from October 10th to 25th, 2020, and analyzed using independent t-test, ANOVA, and Pearson correlation coefficient, and hierarchical multiple regression analysis. The moderating effect was analyzed using the Process Macro model 1 (95% confidence interval, 10,000 bootstrapping), and a simple slope analysis was performed to identify the moderating effect of perceived behavior control. Results: The factors affecting nurses' intention to care for patients with COVID-19 were attitude toward the behavior (β=.32, p<.001) and perceived behavior control (β=.37, p<.001) in model 1, attitude toward the behavior (β=.28, p<.001) and perceived behavior control (β=.36, p<.001), and perspective taking (β=.26, p<.001) in model 2. The explanation power of this model was 65.0% (F=18.41, p<.001). The moderating effect of perceived behavioral control was statistically significant in the relationship between subjective norms and intention to care for patients with COVID-19 (F=16.37, p<.001). In the simple slope analysis, the reinforcement effect was greatest when the level of perceived behavioral control was at the mean (95% CI=0.46~0.67) and high (95% CI=0.70~1.08). Conclusion: Developing and applying a training program that enhances confidence and improves empathy is necessary to increase nurses' intention to care for COVID-19 patients.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 추계학술대회 논문집
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• pp.984-988
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• 2005

To accomplish various and complex tasks by intelligent robots, improvement is needed not only in mechanical system architecture but also in control system architecture. Hybrid control architecture has been suggested as a mutually complementing architecture of the weak points of a deliberative and a reactive control. This paper addresses a control architecture of robots, and a behavior representation methodology. The suggested control architecture consists of three layers of deliberative, sequencing, and reactive as hybrid control architecture. Multi-layer behavior model is employed to represent desired tasks. 3D simulation will be conducted to verify the applicability of suggested control architecture and behavior representation method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.903-908
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• 2003

In this paper, we present an observer-based robust controller which achieves not only robust stability but also an performance robustness for linear uncertain discrete-time systems. The performance robustness means that comparing the transient behavior of the uncertain system with a desired one generated by the nominal system, the deterioration of control performance (i.e. the error between the real response and the desired one) is suppressed without excessive control input. The control law consists of a state feedback law for the nominal system and a compensation input given by a feedback form of an estimated error signal. In this paper, we show that conditions for the existence of the observer-based controller are given in terms of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the proposed technique.

• 정보보호학회논문지
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• 제10권3호
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• pp.11-28
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• 2000

In these days it is rapidly increasing that multi-user, multi-layered commercial software developments for companies or public institutions. Security services are necessary for most of systems and the access control service is the essential of security services. Current access control methods that are used as access control policies are classified as Discretionary Access Control Mandatory Access Control and Role Based Access Control. However there are some inefficiencies when those methods are applied to current multi-user, multi-layered systems. Therefore it is required that a new access control method that takes complex system resources into account from the side of policy. In this paper extending previous Role Based of 'Behavior' and a basic model of the method. And we simply implement the method on the mobile agent based workflow management system that is a representative example of multi-user. multi-layered softwares and shows implementation results to tap possibilities of real-world application.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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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.

• 한국게임학회 논문지
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• 제2권2호
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• pp.37-45
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• 2002

컴퓨터 게임은 실세계에 대한 시뮬레이션으로 간주되어질 수 있다. 소프트웨어 에이젼트의 제어 문제는 인공지능 분야에서 오랫동안 연구되어져 왔으며, 이는 행동기반 접근법이라는 것을 내놓았다. 인공지능 분야에서는 지금까지 크게 세 가지의 접근법을 볼 수 있다. 인지주의는 기호의 형태로 지능이 표현되어질 수 있고 다루어질 수 있다는 것을 제안하였으며, 연결주의에서는 표현이 신체 구조에 내포되어있어서 신체로부터 분리되어질 수 없음이 강조되었다. 행동기반 접근법에서는 인공지능은 동적인 성질을 가져서 어디서든지 존재하지 않는 대신에 에이젼트가 환경에서 행동할 때 비로소 우러나오는 성질을 가진 것으로 제시된다. 본 논문에서는 이러한 세 가지의 접근법을 비교하고 행동기반 접근법의 타당성과 문제점 에 대하여 논한다. 본 논문은 또한 행동기반 접근법의 컴퓨터 게임의 에이젼트 제어에 대한 활용을 제안한다.

• 한국정보시스템학회지:정보시스템연구
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• 제28권2호
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• pp.129-152
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• 2019

Purpose The purpose of this study is to empirically identify the risky behavior of mobile device users using the Internet of Things on a situational perspective. Design/methodology/approach This study made a design of the research model based on model of the determinants of risk behavior. Data were collected through a survey including hypothetical scenario. SmartPLS 2.0 was used for the structural model analysis and t-test was conducted to compare the between normal and situational behavior. Findings The results were as follows. First, the central roles of risk propriety and risk perception were verified empirically. Second, we identified the role of locus of control as a new factor of impact on risky behavior. Third, mobile risk propensity has been shown to increase risk perception. Fouth, it has been shown that risk perception does not directly affect risky behavior and reduce the relationship between mobile risk propensity and risk behavior. According to the empirical analysis result, Determinants of risk behavior for mobile users were identified based on a theoretical framework. And it raised the need to pay attention to the impact of locus of control on risk behavior in the IS security field. It provided direction to the approach to risky behavior of mobile device users. In addition, this study confirmed that there was a possibility of taking risky behavior in the actual decision-making.

• 아동학회지
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• 제34권1호
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• pp.161-173
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• 2013

This study explored the relationships between parenting behavior, preschooler's effortful control, and social adjustment. The subjects were 351 preschoolers(174 boys, 177 girls) and their parents. The major results of this study were as follows. First, there were significant relationships among the factors analyzed in this research, namely, affectionate parenting behavior, preschooler's effortful control, and social adjustment. Second, preschooler's effortful control mediated the effects of affectionate parenting behavior upon preschooler's social adjustment. In conclusion, this study revealed that parents' affectionate parenting behavior and a preschooler's effortful control make a significant impact on the level of the preschooler's social adjustment. Based on th findings of this investigation, the implications of the preschooler's effortful control were also discussed.