• Asia pacific journal of information systems
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• v.12 no.1
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• pp.67-85
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• 2002

This study attempts (1) to analyze the changing pattern of organizational control by investigating the impacts of ERP implementations on the determinants of organizational control types and (2) to compare the performance variances based on the fitness between implementation of ERP and the changed mode of organizational control. Research results reveal that firms with ERP shows high degree of information integration, which partially affects the determinants of organizational control types. Also, results indicate that firms now with ERP shows the higher levels of both behavior and output control than without ERP, and the magnitude of change in behavior control level was greater than that of output control level. Finally, this research suggests that while the firms that implemented ERP for the purpose of quality and service improvement need to more focus on behavior control than on output control, the firms for the purpose of cost reduction need to excercise more output control in order to establish a cost effective control strategy.

• Journal of Korea Multimedia Society
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• v.11 no.11
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• pp.1547-1554
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• 2008

This paper proposes a fire shunt guidance system model based on rule, it presents suitable shunt route in real-time according to collected fire information of the building inside using wireless sensor networks. So, this system model is composed of the sensor alert module, the behavior suggestion module, and the emergency device control module. The sensor alert module uses rule-base algorithm that monitored the information to collect periodically in wireless sensor networks. And, the behavior suggestion module proposed a suitable behavior, this module supports to judge the fire area with danger sensor list. Additional, the emergency device control module controls a related emergency device according to the suggested behavior and to present on a control screen. We experiment the fire shunt guidance system based on Internet Web for operation verification of the proposed system. Consequently, this study supports people safety with the behavior suggestion according to the context information when an emergency situation happens.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2337-2341
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• 2005

This paper presents the target detection method using Support Vector Machines(SVMs) and the navigation system using behavior-based fuzzy controller. SVM is a machine-learning method based on the principle of structural risk minimization, which performs well when applied to data outside the training set. We formulate detection of target objects as a supervised-learning problem and apply SVM to detect at each location in the image whether a target object is present or not. The behavior-based fuzzy controller is implemented as an individual priority behavior: the highest level behavior is target-seeking, the middle level behavior is obstacle-avoidance, the lowest level is an emergency behavior. We have implemented and tested the proposed method in our mobile robot "Pioneer2-AT". Comparing with a neural-network based detection method, a SVM illustrate the excellence of the proposed method.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.2
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• pp.197-206
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• 2000

A hybrid control structure for vision-based soccer robot system is considered. The structure is om-posed of four levels such as the role action behavior and execution levels. The control structure which is a combination of hierarchical and behavioral structures can efficiently meet the behavior and design specifications of a soccer robot system Among the four levels only the design of the action level is proposed in the paper and is experimentally evaluated. Design hypothesis and evaluation method are presented to improve the reliability and accomplishment of the robot system. Due to the essential element of soccer robot system design a systematic design procedure of the action level is proposed With the proposed structure and algorithm of the action level the excellent result was shown at the MiroSot'98 held in France.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.760-768
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• 2007

This paper introduces an emotional behavior decision model based on linear system for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of intelligent service robots and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear dynamic system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented a cyber robot and an emotional head robot using 3D character for verifying the performance of the proposed emotional behavior decision model.

• Nutrition Research and Practice
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• v.15 no.1
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• pp.106-121
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• 2021

BACKGROUND/OBJECTIVES: The objective of this study was to examine factors affecting cooking behavior at home. We examined components of the theory of planned behavior, perception of cooking skills, and socio-demographic variables affecting cooking behavior at home. SUBJECTS/METHODS: The study sample included 425 women raising elementary school children living in South Korea. They responded to an online structured questionnaire. The variables affecting cooking behavior at home were assessed using hierarchical regression analysis. RESULTS: The frequency of cooking behavior at home was 14.1 meals per week. Most respondents showed an intention regarding cooking behavior. The average score for attitude toward cooking behavior at home was 15.1 points (scale of 1 to 25). Attitude and cooking behavior showed a significant positive correlation (P < 0.01, r = 0.22). The subjective norm was 14.6 points (scale of 1 to 25). The subjective norm showed a significant correlation with cooking behavior (P < 0.01, r = 0.18). The control belief was 2.8 points (scale of 1 to 5). The control belief and cooking behavior showed a significant correlation in all questions (P < 0.01, r = 0.25). The subjects were significant confident about their cooking skills, except for Kimchi. Perception of cooking skills showed a significant correlation with all questions concerning cooking behavior (P < 0.01, r = 0.30). Significant variables for predicting intention regarding cooking behavior were perception of cooking skills, employment status, income, and attitude. Significant variables for predicting cooking behavior were employment status, income, control belief, number of children, and behavioral intention. CONCLUSIONS: In order to provide nutrition education to increase cooking behavior at home, it is necessary to have a positive attitude toward cooking behavior, increase control belief, and improve confidence related to cooking skills. Moreover, differentiated education based on the employment status of women is needed.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.229-235
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• 2003

We designed a family of completely autonomous mobile robots with local intelligence. Each robot has a number of on-board sensors, including vision, and does not rely on global positioning systems The on-board embedded controller is sufficient to analyze several low-resolution color images per second. This enables our robots to perform several complex tasks such as navigation, map generation, or providing intelligent group behavior. Not being limited to playing the game of soccer and being completely autonomous, we are also looking at a number of other interesting scenarios. The robots can communicate with each other, e.g. for exchanging positions, information about objects or just the local states they are currently in (e.g. sharing their current objectives with other robots in the group). We are particularly interested in the differences between a behavior-based approach versus a traditional control algorithm at this still very low level of action.

• Journal of Families and Better Life
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• v.32 no.2
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• pp.13-26
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• 2014

The theory of planned behavior proposed by Ajzen predicts that certain behaviors are determined by behavioral intentions which are affected by an attitudinal belief toward the behavior, the subject norms, and the individual's perception of their control over the behavior. This study's aim is to examine consumers' inappropriate complaint behaviors, using the theory of planned behavior. Consumers' inappropriate complaint behaviors are defined by two types, which are low -and high-intensity inappropriate complaint behavior based on the primary data collected from a group of consumer affairs professionals in the business field. The survey questionnaire was administered to 1,000 consumers via an on-line survey. The two models were assessed with path analysis in order to predict consumers' inappropriate complaint behaviors, using the theory of planned behavior. The results are as follows: First, two types of inappropriate compliant behaviors were identified according to the results of an exploratory study conducted by professionals who had been employed at the department of consumer affairs. Second, the theory of planned behavior is adequately fitted to examine the factors related to consumers' inappropriate complaint behaviors. Also, all three variables based on the theory of planned behavior, -perceived behavior control, subjective norm, and attitude-had a significant effect on inappropriate complaint behavior intention. Third, consumers' inappropriate complaint behavior intention played the most significant role in low-intensity inappropriate complaint behavior, whereas attitude was found to play a significant role in high-intensity inappropriate complaint behavior. The significance and implication were discussed in terms of effective customer management strategies.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.3
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• pp.102-109
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• 1998

In this paper, we propose a method of cooperative control 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 lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental codintion changes, a robot select an appropriate beharior stategy. And its behavior stategy is stimulated and suppressed by other robot using communiation. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idotopic network hypothesis. And it is used for decision making of optimal swarm stragegy.