• The Journal of Korean Academy of Sensory Integration
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• v.15 no.2
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• pp.22-34
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• 2017

Objective : The purpose of this study was to draw up sensory integration intervention competency model for occupational therapist and was to confirm a competency model through validation. Methods : We conducted literature review, expert opening survey, and expert focus meeting to draw up draft competency model. And then, we carried out Delphi survey twice and consulted an expert to confirm the sensory integration intervention competency model for occupational therapist. Results : The sensory integration intervention competency model for occupational therapist developed in this study was structured into 4 competency cluster, 15 competency, 60 competency indicators. 4 competency clusters had expertise, professionalism, interpersonal skills, and personal characteristics. Conclusion : The competency model revealed in this study can be used as basic critical data to foster development of competency based curriculum of Korean Academy of Sensory Integration (KASI).

• Journal of Korean Academy of Nursing
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• v.45 no.2
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• pp.280-292
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• 2015

Purpose: In this study a system dynamics methodology was used to identify correlation and nonlinear feedback structure among factors affecting unplanned extubation (UE) of ICU patients and to construct and verify a simulation model. Methods: Factors affecting UE were identified through a theoretical background established by reviewing literature and preceding studies and referencing various statistical data. Related variables were decided through verification of content validity by an expert group. A causal loop diagram (CLD) was made based on the variables. Stock & Flow modeling using Vensim PLE Plus Version 6.0b was performed to establish a model for UE. Results: Based on the literature review and expert verification, 18 variables associated with UE were identified and CLD was prepared. From the prepared CLD, a model was developed by converting to the Stock & Flow Diagram. Results of the simulation showed that patient stress, patient in an agitated state, restraint application, patient movability, and individual intensive nursing were variables giving the greatest effect to UE probability. To verify agreement of the UE model with real situations, simulation with 5 cases was performed. Equation check and sensitivity analysis on TIME STEP were executed to validate model integrity. Conclusion: Results show that identification of a proper model enables prediction of UE probability. This prediction allows for adjustment of related factors, and provides basic data do develop nursing interventions to decrease UE.

• Journal of Environmental Impact Assessment
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• v.6 no.2
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• pp.35-59
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• 1997

In this study, for the effective environmental investigation at the level of planning, environmental assessment model to be integrated with urban comprehensive plans was developed. This model was applied to the Suwon City urban comprehensive plan and was tested to derive the future application program and the adaptability to the current research issues. The results of this study can be summarized as follows: First, we defined basic items for environmental assessment as to be used in the developed SEA model. We also defined three ranges and twelve items for the environmental assessments, which can be used in the assessment of the urban comprehensive plan through the expert advices. Second, we performed the case study by applying the developed SEA model to the Suwon City urban comprehensive assessment, and investigated the environmental impacts through an expert inquiry at the "phase 5" of the model. The results of the case study showed that Suwon City urban comprehensive plan contained partially discrepancies at the goal of the planning. The spatial strategy for leisure, park and open space, and green belt was analysed not to be effective in energy use. The case study also indicated that the environments of Suwon City are expected to be much worse in each sectional plan, if the City was to implement the present five sectional plans for life boundary and distribution of population, land use plan, transportation plan, industrial development plan, and life environmental plan. Third, according to the result of the case study, an mitigation plan for urban comprehensive plan of Suwon City was proposed as the following four stages; modification of planning goal, modification of site alternatives, modification of planning contents, and proposal of mitigation measures.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.357-364
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• 2022

This study aims to design a humanities model for preliminary universities using an online platform to develop and expand humanities thinking of preliminary university students. P University Expert Focus Group Interview and student surveys are conducted, and based on the analysis results, a preliminary university model suitable for the humanities field is proposed. Expert FGI suggested the necessity of human resources education to build an online platform-based preliminary university model and improve humanities capabilities. As a result of the student survey, it was found that a majority of the respondents had high interest in humanities and recognized the need for a humanities preliminary university. This study proposes a humanities-based preliminary university model that enables interactive communication in virtual space using the cross-platform Photo Server. The implication of this study is that it contributes to strengthening the humanities capabilities of preliminary university students by presenting an online platform preliminary university model that can respond to changes in the external environment. Since this study has a limitation in that it does not present examples of preliminary universities, it is necessary to verify the educational effect of platform-based ppreliminary university management in the future.

• Journal of Home Health Care Nursing
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• v.29 no.1
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• pp.18-30
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• 2022

Purpose: Purpose: This study aimed to identify whether infection control practice would correlate significantly with the knowledge and attitude of infection control in the pre-, mid-, and postvisiting rounds among community-visiting nurses. Methods: A descriptive study was conducted based on the knowledge, attitude, and practice (KAP) model by administrating questionnaires during September-October 2020. A total of 65 nurses working for 15 community health centers in Seoul, South Korea were included. The questionnaires were developed based on the epidemiologic triangle model and comprised of 28 items on practice, 18 items on knowledge, and 10 items on attitude. Results: The infection control practice showed a mean of 88.9 (range, 0-100). The infection control knowledge had 89.2% on the host domain, 80.0% on the environment domain, and 74.8% on the agent domain (range, 0-100). The infection control attitude showed a mean of 39.5 (range, 0-50). Higher scores on the infection control practice are significantly correlated with the higher scores on the infection control knowledge about the host domain (p= .004) at the pre-, mid-, and post-visiting rounds. Higher scores on the infection control practice are significantly correlated with the higher scores on the infection control attitude at the mid- (p= .018) and postvisiting rounds (p= .028). Conclusions: The infection control practice by community-visiting nurses may be enhanced with increased knowledge and attitude levels of infection control at the mid- and post-visiting rounds. The enhancement should be included in the on-the-job education for community-visiting nurses.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.75-80
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• 2005

A design for the front section of an excavator requires kinematic and kinetic mechanism consideration for several configurations. Key parameters for an appropriate configuration can be obtained through a mechanical verification and numerical formulation with a design expert's know-how. In this paper, we propose a knowledge-based system with an expert-shell(CATIA) and Visual Basic to assist for the design of the front section of an excavator. The designers can achieve more efficient design through a CAD model, implemented design knowledge, and a user friendly interface. The implemented design knowledge is retrieved through the whole design process from an early design stage to a detailed design stage based on the multiple levels of abstraction scheme.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.589-598
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• 2002

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.67-77
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• 2004

In this paper, a new approach to the automation of the cultivation in a green house is suggested and a practical automatic control cultivation system is implemented. To automatically control and optimize the very nonlinear and time-varying growth of farm products, a hybrid strategy(FECA, Fuzzy Expertized Control Algorithm) is proposed which serially combines a fuzzy expert system with the fuzzy logic control. The fuzzy expert system(FMES, Fuzzy Model-based Expert System is intended to overcome the non-linearity of the growth of farm products. The part of fuzzy controller(FLC, Fuzzy Logic Controller) is incorporated to solve the time-variance of the growth of farm products. Finally, the efficiency and the effectiveness of the implemented agricultural automation system is presented through the cultivation results.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.495-504
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• 2009

As the Reliability Centered Maintenance(RCM) is being studied, maintenance tasks can be performed effectively through the Risk Priority Number(RPN) evaluation about the components in the system. The RPN is usually calculated through arithmetical operations of three values, Severity, Occurrence, and Detection for each facility. This RPN provides information that includes risk level of the facility and the priority order of maintenance tasks for facility. However, if there is no sufficient historical failure data, it is difficult to calculate the RPN. In this case, historical failure data from other sources can be used and apply this data to korean railway system. In this paper, it is proposed that a new methodology to model the failure rate as a fuzzy membership function. This method is based on failure data from other sources by means of the fuzzy theory and the expert opinion system. And considering assessment tendency of each expert, distortions that happened when the failure rate of facilities is estimated were minimized. This results determine Occurrence values of facilities. Taking advantage of this result., the RPN can be calculated with Severity and Detection of facilities by using the fuzzy operation. The proposed method is applied the rail-way power substation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.59-62
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• 2000

In cope with insufficient agricultural labor and requirement of high quality product Hydroponics is a really good method. It makes the high density agriculture possible and all the growing environments controllable. So its research is so much progressing to maximize the quantity and quality of farm products. Furthermore, the big progress, in the research of a future agriculture, is systematically conducted for the automatic controlled system. In this paper, a new approach to the automation of the cultivation in a green house is suggested and a practical automatic control cultivation system is implemented. To automatically control and optimize the very nonlinear and time-varying growth of farm products, a hybrid strategy(FECA; Fuzzy Expertized Control Algorithm) is proposed which serially combines a fuzzy expert system with the fuzzy logic control. The fuzzy expert system(FMES; Fuzzy Model-based Expert System) is intended to overcome the non-linearity of the growth of farm products. The part of fuzzy controller is incorporated to solve the time-variance of the growth of farm products. Finally, the efficiency and the effectiveness of the implemented agricultural automation system is presented through the cultiviation results.