• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.13 no.4
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• pp.239-246
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• 2003

Application of the filtered-x Least Mean Square(LMS) adaptive filter to active noise control requires to estimate the transfer characteristics between the output and the error signal of the adaptive controller. In this paper, we derive the filtered-x adaptive noise control algorithm and analyze its convergence behavior when the acoustic noise consists of multiple sinusoids. The results of the convergence analysis of the filtered-x LMS algorithm indicate that the effects of the parameter estimation inaccuracy on the convergence behavior of the algorithm are characterized by two distinct components Phase estimation error and estimated gain. In particular, the convergence is shown to be strongly affected by the accuracy of the phase response estimate. Simulation results are presented to support the theoretical convergence analysis.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.151-159
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• 2018

This study focused on appreciative inquiry(AI) of salespeople who have to respond to various types of emotions according to the desires of individual customers at service contact points and the effect of emotional labor on adaptive selling behavior and customer satisfaction. Dyadic questionnaires were administerd to 115 automobile salespeople and 2 customers who received service from each salesperson, and the collected data was analyzed by using structural equation modeling. The results showed that AI had positive influences on deep acting and surface acting. Only deep acting was found to have positive relationship with adaptive selling behavior, but not to surface acting. Adaptive selling behavior had a positive effect on customer satisfaction. This study will contribute to identifying the need for AI access for salespersons and for activating adaptive selling behavior through emotional labor related to AI practice.

• Journal of Families and Better Life
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• v.27 no.1
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• pp.165-179
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• 2009

The purpose of this study is to analyze the effectiveness of a host family experience program on the adaptive behavior and self-management skills of children with severe disabilities and to suggest its applicability into clinical practice. The investigators developed a host family experience program and researched the pre-test and post-test designs with nonequivalent groups. The experiment and comparison groups were comprised of 34 children with severe disabilities that lived at S, a care facility for the severely disabled. They were examined for the program's effects on them before and after the application. After analyzing 17 cases for differences in the subjects' quantitative scores, a qualitative analysis was carried out on one representative case. The quantitative analysis results reveal that the experiment group showed a significant increase in their scores of adaptive behavior and self-management skills compared to the comparison group. Positive changes were also observed among the former group in the qualitative analysis. Thus the host family experience program was effective in improving the adaptive behavior and self-management skills of the children with severe disabilities at the facility. These findings indicate that the host family experience program played a positive role in enhancing the adaptive behavior and self-management skills of the children with severe disabilities at the facility and that such host family experience programs should be applied and reinforced in the field of social welfare practice.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.849-859
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• 2014

This study developed adaptive clothing to increase psychological comfort and protection for dementia patients. Our research method and data collection were as follows. The author selected and interviewed 10 caregivers and nurses to understand dementia patient behavior. The author collected eight pieces of clothing designed for dementia patients that are sold in Korean and overseas markets. We then analyzed garment details, open systems, close systems, and expected functions. Adaptive clothing for dementia patients were developed based upon our research. The results are as follows. First, dementia patients' behavior differed by dementia patient symptoms. Second, all items sold in Korean and overseas markets were jump suits designed to prevent behavior characteristic of dementia patients. Third, the author designed and manufactured five pieces of adaptive clothing for dementia patients that included two for mild dementia patients and three for moderate dementia patients. A panel of 50 caregivers gave high marks to developed clothing in regards to functionality, hygiene, patient human rights and aesthetics. The adaptive clothing of dementia patients from this research will increase the psychological and emotional satisfaction of dementia patients.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1525-1530
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• 2003

In this paper, a model of adaptive individual life support system is proposed from the viewpoint of cybernetics. This model is derived based on the relation between human behavior and human action, static and dynamic in processing speed, and abstract/concrete. In applications, task and information of human which includes in this system analyzed by paying attention to cybernetics. This paper shows a few actual example of modeling by fundamental adaptive individual life support model such as medical diagnosis, health care and education support. Finally as an example, design and implementation are concretely carried out for health care support system. This is also a method to design a information support system which is involved in human.

• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.107-114
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• 2005

While a user is using an adaptive hypermedia system, the user can also use an external application. If the user accesses the information which is related to the contents provided by the adaptive hypermedia system, it can affect a user profile that contains the information about the knowledge or interests of the user. However, the adaptive hypermedia system understands user's behavior based on whether a page is accessed or not and it is difficult for the system to recognize user's behavior that can occur outside the adaptive hypermedia system. In this paper, we propose an approach that can detect user's behavior using a message hooking mechanism so that both user's behavior inside an adaptive hypermedia system and behaviors that occur outside the system can be reflected in a user profile. We analyze user events using a hooking mechanism and update a user profile using an XML parser.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.181-191
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• 2020

The purpose of this study was to compare the difference between the adaptive and internalizing/externalizing maladaptive behaviors of the sensory processing problemtic group classified from non-disabled preschoolers and to confirms the effects of sensory processing sub-factors on adaptive and maladaptive behaviors. This study participated in 335, 3-6 years typical preschoolers, carried out Short sensory profile, Vineland-II adaptive behavior scales. The study result in the sensory processing showed a significant positive correlation with the adaptive behavior, and a significant negative correlations were found in the internalizing/externalizing maladaptive behaviors. In the t-test, the problemtic group had lower adaptive behavior scores than the typical group. This study confirmed that atypical sensory processing affected not only adaptive behavior, but also internalizing/externalizing maladaptive problems, that sensory processing difficulties were more related to emotional and behavioral issues.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.12 no.8
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• pp.616-625
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• 2002

In this paper, we drove the filtered-x least mean fourth (FXLMF) algorithm where the error raised to the power of four is minimized and analyzed its convergence behavior for a multiple sinusoidal acoustic noise and Gaussian measurement noise. The application of the FXLMF adaptive filter to active noise control requires to estimate the transfer characteristics of the acoustic path between the output and the error signal of the adaptive controller. The results of the convergence analysis of the FXLMF algorithm indicate that the effects of the parameter estimation inaccuracy on the convergence behavior of the algorithm are characterized by two distinct components phase estimation error and estimated gain. In particular, the convergence is shown to be strongly affected by the accuracy of the phase response estimate. Also, we newly show that the convergence behavior can differ depending on the relative sizes of the Gaussian noise and the convergence constant.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.08a
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• pp.127-158
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• 2007

This study discusses salespersons' emotional intelligence, one of the key abilities necessary to meet customers' needs effectively, and express positive emotions in frequent interactions with customer. Emotional intelligence refers to self-controllability and social ability emphasizing pro-social aspect and understanding of others. This study investigates how salespersons' emotional intelligence affects adaptive selling and positive emotional expression during the process of interaction with customers, and how such adaptive selling and positive emotional expression affects the quality of service perceived by customers. The results show that greater salespersons' emotional intelligence results in better adaptive selling and positive emotional expression. Such adaptive selling and positive emotional expression had significant effects on the quality of service perceived by customers. These results are important in that they address emotional intelligence as salespersons' emotional ability, which has been overlooked as an antecedent variable for improving adaptive selling and display of positive emotion, consequently provide another factor to help salespersons improve their selling behavior.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.6-11
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• 2018

With the development of the Internet of Things technology, a system that ensures the self-adaptability of an environment that includes various IoT devices is attracting public attention. The rules for determining behavior rules in existing self-adaptation systems are based on the assumption of changes in system members and environment. However, in the IoT environment, flexibility is required to determine the behavior rules of various types of IoT devices that change in real time. In this paper, we propose a rule configuration in a self-adaptive system using SWRL based on OWL ontology. The self-adaptive system using the OWL - SWRL rule configuration has two advantages. The first is based on OWL ontology, so we can define the characteristics and behavior of various types of IoT devices as an integrated concept. The second is to define the concept of a rule as a specific language type, and to add, modify and delete a rule at any time as needed. Through the rule configuration in the adaptive system, we have shown that the rule defined in SWRL can provide flexibility and deeper concept expression function to adaptability to IoT environment.