• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.305-325
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• 2014

In cloud computing infrastructure, current virtual machine trust measurement methods have many shortcomings in dynamism, security and concurrency. In this paper, we present a new method to measure the trust of virtual machine. Firstly, we propose "behavior trace" to describe the state of virtual machine. Behavior trace is a sequence of behaviors. The measurement of behavior trace is conducted on the basis of anticipated trusted behavior, which not only ensures security of the virtual machine during runtime stage but also reduces complexity of the trust measurement. Based on the behavior trace, we present a Dynamic Tree Style Trust Measurement Model (DTSTM). In this model, the measurement of system domain and user domain is separated, which enhances the extensibility, security and concurrency of the measurement. Finally, based on System Call Interceptor (SCI) and Virtual Machine Introspection (VMI) technology, we implement a DTSTM prototype system for virtual machine trust measurement. Experimental results demonstrate that the system can effectively verify the trust of virtual machine and requires a relatively low performance overhead.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.5
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• pp.465-470
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• 2012

This paper proposes a distributed autonomous control method of swarm robot behavior strategy based on artificial immune system and an optimization strategy for artificial immune system. The behavior strategies of swarm robot in the system are depend on the task distribution in environment and we have to consider the dynamics of the system environment. In this paper, the behavior strategies divided into dispersion and aggregation. For applying to artificial immune system, an individual of swarm is regarded as a B-cell, each task distribution in environment as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows: When the environmental condition changes, the agent selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other agent using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. In order to decide more accurately select the behavior strategy, the optimized parameter learning procedure that is represented by stimulus function of antigen to antibody in artificial immune system is required. In this paper, particle swarm optimization algorithm is applied to this learning procedure. The proposed method shows more adaptive and robustness results than the existing system at the viewpoint that the swarm robots learning and adaptation degree associated with the changing of tasks.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1177-1180
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• 1996

In this paper, we propose an algorithm that realizes cooperative behavior by construction of autonomous mobile robot system. Each robot is able to sense other robots and obstacles, and it has the rule of behavior to achieve the goal of the system. In this paper, to improve performance of the whole system, we use Genetic Programming based on Natural Selection. Genetic Programming's chromosome is a program of tree structure and it's major operators are crossover and mutation. We verify the effectiveness of the proposed scheme from the several examples.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.155.3-155
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• 2001

Researches of multi-robot system are active in these days. The most remarkable characteristic of multirobot system is that the robots work cooperatively and achieve the task which a single robot cannot do. It is essential to investigate number effect of multi-robot system. In this paper, we chose foraging task and investigated their behavior. At first, we investigated the foraging behavior in case that interaction range is Infinite. Secondly, we investigated the behavior in case that interaction range is finite. In both case, we find out there is an optimum interaction duration.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1026-1042
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• 2020

People are increasingly demanding to experience realistic behavior of virtual characters in computer games. In this article, we build a computer model for simulating a bicycle rider's behavior in a virtual riding system. A method to calculate the speed of a bicycle rider is proposed to improve the reality in a virtual riding system. In this method, the property of physical energy is introduced, and the bicycle-riding speed is calculated in real time according to the relationship between the rider's physical energy and bicycle-riding speed. Then based on the analysis of the behavior of a cyclist in a real competition, various behaviors of the virtual rider are designed and a behavior-tree for the virtual bicycle rider is constructed accordingly. On the basis of these, a virtual riding system is developed. The experiments results show that our system can simulate the behavior of a virtual bicycle rider, and thus encourage exercise on a stationary bicycle.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.2
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• pp.266-275
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• 2014

The purpose of this study was to examine the effect of Earth System Education using multimedia on the elementary school students' environmental sensitivity and pro-environmental behavior. To verify this research problem, the subject of this study was fifth-grade students selected from two classes of M elementary school located in Busan city. For three months, the experimental group of 25 students was taught using multimedia. The comparison group also of 26 students was taught in normal classes which used a text-book. All students were given pre and post test to verify the effects of Earth System Education using multimedia on elementary school student's environmental sensitivity and pro-environmental behavior. The results from this study are as the following. First, Earth System Education using multimedia were effective on elementary school student's environmental sensitivity. Second, Earth System Education using multimedia were effective on elementary school student's pro-environmental behavior. Third, All most all experimental students were satisfied with Earth System Education using multimedia. In conclusion, Earth System Education using multimedia showed very positive effects on improvement of elementary school students' environmental sensitivity and pro-environmental behavior.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.154-158
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• 2007

As the technology developed, the system is being developed as the structure that is adapted to the intelligent environment. Therefore, the existing situation information system couldn't provide satisfactory service to the user as it provides service only by the information which it received from the sensor. This paper analyzed the problems of the existing user intention awareness system and suggested user intention awareness system to provide a stable and efficient service that fits to the intention of the user compensating this. This paper has collected the behavior data based on the scenario of the sequential behavior course of the user that occurs at breakfast time in the kitchen which is the home domain environment thai is closely related to our lives. This scenario course also showed the flow that the goal intentional user intention awareness system acted that it suggested, and showed the sequential course processing the user behavior data by tables and charts.

• Journal of information and communication convergence engineering
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• v.19 no.2
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• pp.120-129
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• 2021

In this study, the effect of a telecommunication company's safety management system on workers' safety awareness and safety behavior was empirically verified. The main findings are as follows: First, among the factors of the telecommunication company's safety management system, the management supervisor's capability and level of industrial accident investigations were found to have a significant positive effect on workers' safety awareness. Second, workers' safety awareness was observed to exert a significant positive effect on their safety behavior. Third, among the factors of the telecommunication company's safety management system, the management supervisor's capability and industrial accident investigations were found to have a significant positive effect on the safety behavior of workers. Fourth, although the telecommunications safety management system factors, such as management supervisors' capability and industrial accident investigations, were found to have a positive effect on workers' safety awareness, they had no mediated effect on workers' safety behavior through safety awareness.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.5-33
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• 2004

This study explores how agents would make decisions responding to control mechanism in contractual relationship of their firm. Focusing on agent's averse behavior against control, system dynamics model for agent's opportunistic behavior is developed in view of agent theory and control theory. This SD model shows that control mechanism by contracts doesn't always play a positive role on corporate decision-making process and Control, especially in the over-controlled contracts, often makes a paradox accelerating agent's opportunistic behavior unexpectedly. This paradox provides us both theoretical and practical implications for the relationship between control mechanism and autonomous behavior for sustainable corporate management.

• Review of KIISC
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• v.5 no.2
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• pp.32-48
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• 1995

Our paper describes an Intrusion Detection Parallel System(IDPS) which detects an anomaly activity corresponding to the actions that interaction between near detection events. IDES uses parallel inductive approaches regarding the problem of real-time anomaly behavior detection on rule-based system. This approach uses sequential rule that describes user's behavior and characteristics dependent on time. and that audits user's activities by using rule base as data base to store user's behavior pattern. When user's activity deviates significantly from expected behavior described in rule base. anomaly behaviors are recorded. Observed behavior is flagged as a potential intrusion if it deviates significantly from the expected behavior or if it triggers a rule in the parallel inductive system.