• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.562-574
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• 2019

Purpose: The purpose of this study was to identify the response patterns of nursing unit managers regarding workplace bullying. Methods: Q methodology was used to identify the response patterns. Thirty-six Q samples were selected from the Q population of 210 that included literature reviews and in-depth interviews with clinical nurses and nursing managers. Participants were 30 nursing unit managers who had experience managing workplace bullying and they classified the Q samples into a normal distribution frame measured on a nine-point scale. The data were analyzed using the PC-QUANL program. Results: Five types of response patterns were identified: (1) sympathetic-understanding acceleration, (2) harmonious-team approach, (3) preventive-organizational management, (4) passive observation, and (5) leading-active intervention. The preventive-organizational management type was most frequently used by the nursing unit managers. Conclusion: The results of this study indicated that nursing unit managers attempted to prevent and solve workplace bullying in various ways. Therefore, it is necessary to develop and conduct leadership training and intervention programs that appropriately address the response patterns of nursing unit managers, such as those identified in this study.

• Journal of Information Technology Applications and Management
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• v.9 no.2
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• pp.1-16
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• 2002

Recently, neural network methods have been studied to find out more valuable information in data bases. But the supervised learning methods of neural networks have an overfitting problem, which leads to errors of target patterns. And the unsupervised learning methods can distort important information in the process of regularizing data. Thus they can't efficiently classify data, To solve the problems, this paper introduces a hybrid neural networks HACAB(Hybrid Algorithm combining a Competition learning model And BP Algorithm) combining a competition learning model and 8P algorithm. HACAB is designed for cases which there is no target patterns. HACAB makes target patterns by adopting a competition learning model and classifies input patterns using the target patterns by BP algorithm. HACAB is evaluated with random input patterns and Iris data In cases of no target patterns, HACAB can classify data more effectively than BP algorithm does.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.759-770
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• 2012

Purpose: This ethnography was done to explore patterns of weight management behavior among adults using obesity clinics. Methods: The participants were 12 adults who were overweight or obese and 2 family members. Data were collected from iterative fieldwork in the obesity clinics of two hospitals. Data were analyzed using text analysis and taxonomic methods. Results: Weight management behaviors among participants varied according to the recognition of the body and motivation for weight control, Participants' behavior was discussed in the socio-cultural context of obesity. Patterns of weight management behavior among participants were categorized by focus: strategic self-oriented type including managements for the body as a social asset and for health, selective neglect type, and passive group value-oriented type including type dependent on others and managements for beauty. Conclusion: Participants' weight management behavior was guided by folk concepts of body and health. and constructed within the socio-cultural context. It is necessary for health care providers to understand physical and psychological problems arising from the repeated trials, excessive control of weight, and Western cultural discourse on beauty ideals among adults who are overweight or obese. Therefore, interventions should be tailored to address individual and community needs.

• Journal of the Korean Society for Library and Information Science
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• v.12
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• pp.87-120
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• 1985

The present study aims at identifying the nature of the organizational patterns for serial management and thus providing an assitance for decision-making in regards to how the serials in an individual library be processed. The premise of the paper is that effective management is ensued from adopting proper organizational arrangement. In the first part. attempts are made to bring to the fore the problems inherent in serial management and the efforts made for possible solutions. The main portion of the paper eximines the two outstanding patterns; namely, the decentralized arrangement patterned after the traditional functions of a library and the centralized one integrating such functions as acquisition, cataloging and information service. Both are examined in light of nature, development, applicability, strengths and weeknesses. Automation is viewed as a strong force for a change in organizing serial work as it has already brought about organizational change in some large libraries. The general conclusion is that a large collection(5,000 active titles or more) has much to benefit from a separate, specialized department. which integrates the related functions; and the smaller collection can be effectively treated like the rest of the library materials, assigning a specific unit responsible for serial work and promoting an informal communication activities which would bring about coordination and coorperation for the free flow of serial work.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.497-514
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• 2023

Purpose: This study aims to estimate the demand for various public parking lots in Seoul by clustering similar demand types of parking lots and predicting the demand for new public parking lots. Methods: We examined real-time parking information data and used time series clustering analysis to cluster public parking lots with similar demand patterns. We also performed various regression analyses of parking demand based on diverse heterogeneous data that affect parking demand and proposed a parking demand prediction model. Results: As a result of cluster analysis, 68 public parking lots in Seoul were clustered into four types with similar demand patterns. We also identified key variables impacting parking demand and obtained a precise model for predicting parking demands. Conclusion: The proposed prediction model can be used to improve the efficiency and publicity of public parking lots in Seoul, and can be used as a basis for constructing new public parking lots that meet the actual demand. Future research could include studies on demand estimation models for each type of parking lot, and studies on the impact of parking lot usage patterns on demand.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.6
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• pp.751-763
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• 2014

The paper is written to determine the optimal search pattern through search effects assessment on underwater targets. 5 types of search patterns are introduced such as, M-type pattern, W-type pattern, rectangular pattern, 4-type pattern and square pattern, In addition, Operational effectiveness analysis model is developed to obtain the optimum search pattern. The algorithms and mathematical models are also suggested to analyze the required search times, AUV's movement patterns, moving distances, overlapping areas and so on.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.73-82
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• 2012

The purpose of this study was to examine the impact of the DISC behavioral patterns of health care workers on their job satisfaction, organization Commitment and job stress in a bid to suggest an ideal behavioral pattern of Nurses and Dental hygienist. The subjects were 184 health care workers who worked in general hospitals and clinics in Busan and Ulsan for a year or more. The collected data were analyzed using ANOVA and linear regression. As a result of analyzing the relationship of their DISC behavioral patterns to job stress, organizational satisfaction and organizational commitment, there were significant differences in job stress according to their DISC behavioral patterns(p=0.015). In regard to relationship between their DISC behavioral patterns and the subfactors of job stress, there were significant gaps in role conflicts(p=.007), conflicts with subordinates(p=0.001) and conflicts over underpayment(p=0.015) according to their DISC behavioral patterns. As a result of investigating the influential factors of job stress, factors produced significant results(p<.001). The findings of the study illustrated that out of the DISC behavioral patterns, type I was most prevailing among the health care workers, which indicated that the weight of this type was highest among the behavioral styles. There were no significant gaps in job satisfaction and organizational commitment according to their DISC behavioral patterns.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.277-292
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• 1996

The purpose of this study was to examine the relationship between infant's attachment and maternal parenting attitudes of 12 months infants and to verify the child's problem behaviors according to the patterns of attachment. There was no statistical significant difference between the maternal parenting attitudes and the patterns of infant's attachment. But the latter infants had been fed the more they showed secured attachment. Infants fostered under mothers having a good relationship with brother's family husband, and having a satisfaction of environmental factors had more secured attachment. There was the statistical significant difference between the patterns of attachment and child's problem behaviors. In securely attached children showed more immature insecure antisocial behaviors and habit disorders. As the results the maternal parenting attitude influenced infants's patterns of attachment to their mothers. And childern's problem behaviors were influenced by the patterns of attachment.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.459-461
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• 1992

This paper presents the new method to recognize the 2D patterns dynamically by rotating the input patterns according to the difference vector. Generally neural network with many patterns leads to various recognition ratio. The dynamic management of input patterns means that we can move pixels to desired locations controlled by the difference vector. We divide dual neural network model into two parts at learning phase, respectively. And then we combine them to construct the total network. Our model has some good results such that it has less number of patterns and reduced learning time. At present, we only discuss the four way movement of input patterns. The research for the complex movement will be fulfilled later.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.79-88
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• 2019

This study analyzes the influential factors and patterns associated with death from aircraft accidents and incidents using data mining techniques. To this end, we used two datasets for aircraft accidents and incidents, one from the National Transportation Safety Board (NTSB) and the other from the Federal Aviation Administration (FAA). We developed our prediction models using the decision tree classifier to predict death from aircraft accidents or aircraft incidents and thereby derive the main cause factors and patterns that can cause death based on these prediction models. In the NTSB data, deaths occurred frequently when the aircraft was destroyed or people were performing dangerous missions or maneuver. In the FAA data, deaths were mainly caused by pilots who were less skilled or less qualified when their aircraft were partially destroyed. Several death-related patterns were also found for parachute jumping and aircraft ascending and descending phases. Using the derived patterns, we proposed helpful strategies to prevent death from the aircraft accidents or incidents.