• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.627-633
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• 1999

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. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ？3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• The Korean Journal of Community Living Science
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• v.21 no.4
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• pp.581-593
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• 2010

This study was performed to find out the correct recognition and stabilization of the food labeling system, and the dietary behavior of college students for processed food as well as their recognition of the food labeling system as observed according to their residence type. A questionnaire was composed with three divisions containing general items, the dietary behavior for processed food and the effectiveness of the nutrition labeling system. The data was analyzed by SPSS WIN 17.0 and the results are as follows; The findings showed differences according to residence type were the intake frequency of processed food, the ways of preservation and the reasons of returning or exchange of the purchased processed food. And there was no difference in the recognition of dietary behavior for processed food and food nutrition labeling system. For overall perception of the dietary behavior and the recognition of the food labeling system, the ratio of college students who considered selection standard related to health when purchasing processed food was low. And the ratio of those who checked the label for milk and dairy products or instant food which is concerned with decomposition was high. On the contrary, the ratio of checking was relatively low for beverages, noodles and cookies. Many answered that the reason for having checked the food label was to find out the safety of the food and that of having read the nutrition label was to control weight and to check the nutrition ingredients. In general, many answered positively for the recognition and the necessity of food labeling system, but the actual practice of selecting and managing processed food was poor.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.50-59
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• 2006

This paper proposes an automatic video monitoring system and its application to emergency detection by analyzing human behavior using neural network. The object area is identified by subtracting the statistically constructed background image from the input image. The identified object area then is transformed to the feature vector. Neural network has been adapted for analyzing the human behavior using the feature vector, and is designed to classify the behavior in rather simple numerical calculation. The system proposed in this paper is able to classify the three human behavior: stand, faint, and squat. Experiment results shows that the proposed algorithm is very efficient and useful in detecting the emergency situation.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.111-117
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• 2008

This study aims to develop a system which is able to monitor and analyze behavior of long span bridge in real time using multiple GPS. Through setting up many GPS at the important points of long span bridge and measuring displacement in real time, over all behavior of bridge could be analyzed. Behavior analyzing system developed in this study is able to digitize and visualize the overall and points displacement of bridge and deal with events actively. Also it is able to calculate statistical data related to analyze behavior through the constructing a database of measuring data.

• Journal of the Ergonomics Society of Korea
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• v.6 no.1
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• pp.9-24
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• 1987

The design and philosophy are presented for an intelligent aid for a hyman operator who must diagnose a novel fault in a physical system. A novel fault is defined as one that the operator has not experienced in either real system operation or training. When the operator must diagnose a novel fault, deep reasoning about the behavior of the system components is required. To aid the human operator in this situation, four aiding approaches which provide useful information are proposed. The aiding information is generated by a qualitative, component-level model of the physical system. Both the aid and the human are able to reason causally about the system in a cooperative search for a diagnosis. The aiding features were designed to help the hyman's use of his/her mental model in predicting the normal system behavior, integrating the observations into the actual system behavior, or finding discrepancies between the two. The aid can also have direct access to the operator's hypotheses and run a hypothetical system model. The different aiding approaches will be evaluated by a series of experiments.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.12
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• pp.1009-1018
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• 2003

In a park or street, we can see many people Jogging or walking with their dogs chasing their masters. In the previous study, an entertainment robot, CARTRI that imitates the dog's behavior was created. The robot's task was chasing a moving goal that was recognized as the master. The physical structure of the CARTRI robot was three-wheel type locomotion system. The sensor system which could detect the position of the master in the outdoor space, was consists of a signal transmitter which was held by the master and five ultrasonic receivers which were mounted on the robot. In the experiment, the robot could chase a human walking in outdoor space like a park. But it could not avoid obstacles and its behavior was only goal-chasing behavior because of the limit of the sensor system. In this study, an improved RF-ultrasonic sensor system which can detect both goal and obstacle is developed in order to enable the CARTRI robot to carry out various behavior. The sensor system has increased angle resolution by using eight ultrasonic receivers instead of five in the previous study. And it can detect obstacle by using reflective type ultrasonic sensors. The sensor system is designed so that detection of goal and obstacle could be conducted in one sampling period. The Performance of the developed sensor system is evaluated through experiments.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.566-574
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• 2005

In spite of recent increase in the use of avatar in Web and Virtual Reality, there has not been a service that allows users to control directly the avatar behaviors. In addition, the conventional behavior control languages required a lot of complicated information for controlling the avatar motions. Moreover, in order to apply written languages to a different task domain, it was necessary to modify or rewrite the languages. In this paper, we define Task-Level Behavior Description Language and Motion Representation Language for more simple control of the avatar behavior. The first thing allows describing the avatar behaviors in each task domain, and The second thing enables writing detailed data for motion control. And in this paper, we developed an interpreter which can automatically change the Behavior Description Language to the Motion Representation Language. So this system allow users control the avatar behavior simply with only use the Behavior Description Language. The system was applied to shopping mall and the Task-level Behavior Description Language was compared with conventional languages to see how it was more effective in behavior description.

• Progress in Superconductivity and Cryogenics
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• v.3 no.2
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• pp.27-31
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• 2001

This paper deals with the numerical estimation of the bubble behavior and the partial discharge (PD) initiation voltage on the basis of electric field calculation with the coaxial coil layer-to-cylindrical electrode system for the simulation of high temperature superconducting coils. The theoretical results of bubble behavior and the PD initiation voltages show fairly good agreement with the experimental results.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.9
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• pp.889-895
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• 2012

A vertical launching system(VLS) is a system for holding and firing missiles on surface ships. When a missile is launched in VLS, relative motion between canister and missile and drag force induced by wind can cause initial unstability of a missile. Thus dynamic analysis of initial behavior of vertically launched missile should be performed to prevent collision with any structure of a ship. In this study, dynamic analyses of initial behavior of vertically launched missile are performed using Monte-Carlo simulation, which relys on random sampling and probabilistic distribution of variables. Each parameter related with dynamic behavior of a missile is modeled with probability variables and Recurdyn, a commercial software for multi body dynamic analysis, is used to perform Monte-Carlo simulation. As a result, initial behavior of a missile is evaluated with respect to various performance indexes in a probabilistic sense and sensitivity of the each parameters is calculated.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.1-18
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• 2007

Many researches have been done in insurance fraud as the amount and frequency of insurance fraud have been increasing continuously. In particular, the development of insurance fraud detection system using large database management techniques including data mining or link analysis based on visual method have been the main research topic in insurance fraud. However, this kinds of detection system were very ineffective to find unintentional insurance fraud happened by accident even though it was so good to find intentional and organized crime insurance fraud. Therefore, this research suggests insurance fraud as an ethical decision making and applies TPB(Theory of Planned Behavior) for the finding of reasons and prevention strategies of unintentional insurance fraud happened by accident. The results of research show that TPB is very appropriate model to explain the behavior of insurance fraud and that insurance agents force to do insurance fraud as affecting perceived behavior control. Therefore, education and pubic relations for insurance fraud are very effective for preventing insurance fraud and developing insurance service industry.