• Korean Journal of Occupational Health Nursing
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• v.29 no.1
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• pp.78-87
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• 2020

Purpose: The purpose of this study was to identify the relationship between nursing error experience, coping behavior and job stress in operating room. Methods: A descriptive research design was used in this study. The participants were 228 operating room nurses in G city who surveyed between October 25 and November 25, 2017 using self-report questionnaires. The data were analyzed using IBM SPSS/WIN 24.0/AMOS WIN 24.0 Program, which determined frequency, percentage, mean, standard deviation, Pearson correlation coefficient, and structural equation model. Results: There were significant positive correlations between six sub-categories of nursing errors and job stress. We found negative correlations between coping behavior and job stress. There was a mediating effect of active coping between knowledge of nursing error and job stress. We found passive coping between inspection & monitoring related error and job stress. Conclusion: Study findings suggest that adequate education and the improvement in hospital environment and system should be required to reduce the nurses' job stress related to the patients' safety in operating room.

• Nuclear Engineering and Technology
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• v.44 no.4
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• pp.379-386
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• 2012

A symptom-based procedure with a critical safety function monitoring system has been established to reduce the operator's diagnosis and cognitive burden since the Three-Mile Island (TMI) accident. However, it has been reported that a symptom-based procedure also requires an operator's cognitive efforts to cope with off-normal events. This can be caused by mismatches between a static model, an emergency operating procedure (EOP), and a dynamic process, the nature of an ongoing situation. The purpose of this study is to share the evidence of mismatches that may result in an excessive cognitive burden in conducting EOPs. For this purpose, we analyzed simulated emergency operation records and observed some operator behaviors during the EOP operation: continuous steps, improper description, parameter check at a fixed time, decision by information previously obtained, execution complexity, operation by the operator's knowledge, notes and cautions, and a foldout page. Since observations in this study are comparable to the results of an existing study, it is expected that the operational behaviors observed in this study are generic features of operators who have to cope with a dynamic situation using a static procedure.

• Journal of East-West Nursing Research
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• v.29 no.1
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• pp.24-32
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• 2023

Purpose: This study aims to examine level of perception and performance of privacy protection behavior of anesthesia and operating room (OR) nurses for patients who underwent general anesthesia surgery. Methods: Data collection was conducted from August 2020 to January 2021 for a total of 101 participants, consisting of 49 patients and 52 nurses. Independent t-test and Pearson's correlation were conducted using SPSS 21. Results: Anesthesia and OR nurses showed the highest score in patient privacy, followed by patient information management, body privacy, and the lowest score in communication. There was a significant difference between the patient information and the communication. Conclusion: Anesthesia and OR nurses had the highest level of perception and performance of patient privacy protection behavior for body privacy, and the lowest for communication. In addition, there was a significant difference in patient information management and communication. In order to protect the privacy of patients undergoing general anesthesia surgery, efforts are needed to learn standardized nursing knowledge, attitudes, and practice.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1263-1268
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• 2011

Rail infrastructure manager and operators shall establish emergency response plans. Emergency Response Planning Activities expanded coincidence events should be modeled. Identify the emergency response organization for the purpose of knowledge is required. In other words, control concepts and skills needed core elements. Structured analysis & design technic methodology is Compared with other modeling techniques through a simple graphical model is visualized. The information contained in a model real problems that considering the state of the system activities, so that knowledge acquired in situations where the modeling becomes possible. In this paper, using structured analysis techniques, infrastructure deployment model of the proposed features. In addition to emergency response planning in the 1960s in Germany, Karl Petrie (Carl Petri) devised various means of modeling the situation presents a Petri net model.

• Knowledge Management Research
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• v.9 no.2
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• pp.1-13
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• 2008

The purpose of this study is to investigate the use of elements related to the competitive intelligence(CI) process, methods, and infrastructure in accordance with the degree of CI effectiveness of domestic firms and to propose a guideline for designing and operating an effective CI program in Korean films. The results of this study reveal that, for the elevation of CI effectiveness of Korean firms, it is important to actively utilize the overall CI process, including undisclosed information through human networks, public information through various media, and quantitative and qualitative analyses, an independent CI unit, various CI support systems, such as information and reward systems, and organizational culture of CI openness within an organization. However, CI outsourcing, CI primary objectives, and CI scale do not seem to have a significant influence on CI effectiveness of Korean firms. Based on these results, this research presents some important implications for effective competitive intelligence for Korean firms.

• Knowledge Management Research
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• v.11 no.1
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• pp.37-50
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• 2010

Bioharmaceutical technologies have consistently been areas in which large licensing agreements have been negotiated. However, there are very limited informations in the open literature on how its running royalty rates are determined and no specific methods are yet provided. The purpose of this study is to suggest an appropriate method for the estimation of running royalty of bioharmaceutical technology in licensing agreements. Here distribution of risk-adjusted operating margins are obtained by simulation using statistics of success rates in the stage of clinical trials and profit margins. Three factors based on technology, business and license legal terms are considered and combined as licensing competitiveness level. Finally, reasonable running royalty is estimated by combining simulated distribution and licensing competitiveness level. This suggested method is expected to practically useful for licensor to establish an appropriate running royalty rate for licensing.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.34-35
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• 2006

This paper presents an information collection and a novel inference technique for evaluation of power system operation state. In most developing countries, power demands are steadily increasing and consequently power systems are becoming larger and more complicated. In addition, power system deregulations further complicate the power system operational tasks, which are resulted in prevailing wide area blackouts worldwide. In this paper, we proposed an effective information collection and operating state evaluation methods using a knowledge-based system. The RTS-79 24 bus system is used as a test system. The power system model is composed with JESS templates and included in the knowledge-base as a part of fixed facts. Dynamic informations are collected from various analysis results and actual operational data. Inferences are performed with rules expressed with terms in different abstraction levels. Future research will be concentrated on intelligent contingency selections for preventing wide area blackouts.

• Proceedings of the KIEE Conference
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• 1993.11a
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• pp.53-55
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• 1993

This paper describes the development of a software that has the man expert knowledge, experience and inference. This software is helpful for selecting the motors and driving systems which are best fit for the applications. Developed software can automatically select the most reasonable motor driving systems, only if a semi-skilled engineer inputs the performance criteria for the applications and mechanical data. Expert system inference engine and knowledge-base are implemented by C programming language. Data-base was implemented from manufacturer's catalogues for DC motors and brushless DC motors. Efficiencies of the various motor driving systems are compared reference on the average efficiency depends on the operating profiles. Developed expert system was tested in various of applications to verify the reliability, quick and easy selecting of the motor driving systems.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.219-225
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• 1991

The characteristics of a power plant changes as it operates for a long time and/or for different operating points. As a result, operators must retune gains of the controllers for better performance. In fact, skilled operators can retune the gains in reference to recorded data obtained by a test called dynamic test. The dynamic test, however, requires much time, and can be heavy burden for operators. In this paper, an expert knowledge-based auto-tuner is designed for drum-type boiler controllers of a fossil power plant using fuzzy logic. The performance of the proposed auto-tuner is shown via computer simulation and the simulation results show that the proposed auto-tuner is satisfactory for the desired performance.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.247-252
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• 2006

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn until signal is growing to abnormal state that the signal is over or under the set point. therefore cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without any additional sensors. By analyzing the data with high correlation coefficient(CC), correlation level of interactive data can be defined. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC. FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.