• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.239-248
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• 2010

Purpose: This study was done to propose the developmental direction of study related to nursing practice education by grasping the trend of study in fundamental and clinical practice. Method: A total of 48 research articles which were published on nursing practice education in Korea from 2002 to 2009 were analyzed with structured analysis forms. Result: Most research was related to clinical practice (n=40). A high percentage of non-experimental research design was related to fundamental practice (75%) and clinical practice (65%). Qualitative research was only used in clinical practice (n=8). Nursing students were predominantly selected as an object of research in fundamental practice (n=6) and clinical practice (n=32). In addition, many of the areas in clinical practice were a general clinical setting without any classification of the specific area. The concepts of research in fundamental practice were related to competency in basic nursing skill and most concepts of research in clinical practice were associated with satisfaction, stress, experience, critical thinking and problem solving ability of the nursing student. Conclusion: There's something to be desired in nursing research related to instructor methods, teaching-learning methods and nursing education programs. Therefore, more specific and continuous research focused on these topics to improve clinical nursing competence of the nursing student is needed.

• Journal of East-West Nursing Research
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• v.19 no.1
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• pp.46-54
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• 2013

Purpose: An objective of this study was to investigate nurses' perceptions toward patient safety culture and to examine the factors affecting safety care activities. Methods: The participants were 429 nurses, at 6 hospitals located in regions, which have 150 to 300 beds, and HSOPSC (AHRQ, 2009) and questionnaire on safety care activities were used as measurement tools. Descriptive statistics, independent t-test, one way ANOVA, and stepwise multiple regression with SPSS/WIN version12.0 were used to analyze the data. Results: Supervisor manager expectations and actions promoting patients safety and frequency of events reported were the highest as positive responses, whereas staffing and nonpunitive response to errors showed the lowest scores as positive responses. Scores of medication surveillance is the highest while firefighting surveillance is the lowest in terms of safety care activities. Significant predictors influencing safety care activities were frequency of events report, handoffs and transitions, work unit a patient safety grade, organizational learning-continuous improvement, and teamwork across units. These predictors account for 23% of the variance. Conclusion: These results suggest that hospital policies and systems should be built to settle patient safety culture effectively. Development of standard manuals for safety care activities is another critical element for promoting patient safety.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.2
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• pp.103-107
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• 2009

PI controller is widely used as voltage control system of generator. However when a generator system has various characters of continuance, a new PI parameter decision for accurate control is a hard task as method of solving this problem, in this paper, the method to generator voltage control using Neural Network self adaptive control is presented. A property continuous feedback control gain of voltage control system is decided by a rule of delta learning. The function of proposed control method is verified by voltage control experiment results of DC generator.

• Journal of Mechanical Science and Technology
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• v.15 no.11
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• pp.1472-1481
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• 2001

In this paper, an advanced shift controller that supervises the shift transients with adaptive compensation is presented. Modern shift control systems for vehicle automatic transmission are designe d to provide smooth transients for passengers' comfort and better component durability. In the conventional methods, lots of testing and calibration works have been done to tune gains of the controller, but it does not assure optimum shift quality at all times owing to system variations often caused by uncertainties in shifting hydraulic systems and external disturbances. In the proposed control scheme, an adaptive compensation controller with intelligent supervisor is implemented to achieve improved shift quality over the system variations. The control input pattern which generates clutch pressure commands in hydraulic actuating systems, is updated through a learning process to adjust for each subsequent shift based on continuous monitoring of shifting performance and environmental changes. The proposed algorithm is implemented and evaluated on the experimental test setup. Results from the experimental studies for several operation modes show both improved performance and adaptability of the proposed shift controller to uncertain changes of the shifting environment in vehicle power transmission systems.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.79-88
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• 2015

The safety culture of an organization is the product of individual and group values, attitudes, perceptions, competencies, and patterns of behavior that determine the commitment, the style and proficiency, and an organization's health and safety management. A good safety culture includes effective, appropriate safety management systems; strong safety leadership & commitment from management; participation and involvement of the workforce; and organizational learning and continuous improvement. This paper will introduce the safety culture inspection standards and process in Korea Railway. The main purpose is to get a better understanding of safety culture and to develop measuring tool. First of all we developed the composition factor of safety culture and the question set. And we prepared the base of computerization of safety culture measurement by developing of evaluation standards and weighted value.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.3
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• pp.301-314
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• 2011

Purpose: This study was a methodological research conducted to develop a clinical ladder system for operating nurses. Methods: Participants were 20 OR nurses, working in C Hospital, who had a mean tenure of 6 years and 10 months. Data collection consisted of 4 focus group interviews during May and June 2009. The content analysis method of Kim and Lee (1986) was used to analyze the data. Two clinical expert groups consisting of 16 nurses verified the content validity of the preliminary system from September 16 to 26, 2009 using Kim's tool (1999). Results: The final clinical ladder system consisted of goals, core values, and 4 domains of practice related to core values, which were defined as professional value, perioperative nursing practice, education/research, and collaboration/leadership. Eleven nursing competencies and 44 behavior indicators were included in accordance with the 4-step ladder. The 4 operation systems for the clinical ladder system were the promotion system, continuous learning system, reward system, and support system. Conclusion: The results indicate that nursing managers need to pay more attention to developing a clinical ladder system for nurses.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.2
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• pp.215-233
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• 2015

Despite the continuous efforts of academic libraries to develop various user-centered outreach programs, services and new processes, library anxiety still remains a threat to university students' full use of academic library resources. Meanwhile, a new generation of students, called the "Net Generation," has grown up with developed information and communication technology enter university and must be persuaded to turn to the library. To serve this new group of patrons better, libraries need to adopt new technologies. However, since an initial introduction cost and labor efforts are involved in the integration of the technology, identifying the right time for introduction and the right scope of innovation is essential but difficult. The study proposes a not-yet-well-known, novel experimental design, Regression Point Displacement (RPD), to evaluate an orientation program applying Mobile Augmented Reality (MAR) for STEM students. Since this RPD design requires only one treatment group, the model is expected to be the incomparable and rational way to evaluate the new MAR technology. In the context of an informal learning experience, the findings of the study will determine the effectiveness of an orientation employing the MAR technology.

• Human Ecology Research
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• v.56 no.3
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• pp.301-315
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• 2018

This study explores the critical reflection process experienced by home economics preservice teachers during practicum. Data were collected in a critical analysis of class, practicum review, and journals written by sixteen preservice teachers. Text material were composed of 188 transcripts on A4 paper and 36 page of mini-notes. The collected data were analyzed by a thematic coding method in qualitative research and proceeded in the order of three steps of transference, coding, and subject discovery. The emerging themes were: 1) Observing class 2) Practicing class 3) Growth of class practice 4) Reflecting class. First, the observing class was an exploration process through the viewing of daily classes that involved the process of recognizing the classroom situation and various classroom contexts. Second, the practicing class was to strengthen the consideration of the class to form a relationship that could lead to learning in educational situations. Third, the growth of class practice was intended to recognize the orientation of the subject matter with pedagogical content knowledge. Four, the reflecting class was the process of experiencing practice with a continuous understanding of the class, class reflection, and changing the perspective from the current status. There is a part where critical reflection is difficult to be promoted deeply during 4 weeks; however, there was a possibility of a reflection practice that could promote achievement through the experience of a practicing class.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.717-732
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• 2011

Classification in biomedical applications is an important task that predicts or classifies an outcome based on a given set of input variables such as diagnostic tests or the symptoms of a patient. Traditionally the classification algorithms would have to digest a stationary set of historical data in order to train up a decision-tree model and the learned model could then be used for testing new samples. However, a new breed of classification called stream-based classification can handle continuous data streams, which are ever evolving, unbound, and unstructured, for instance--biosignal live feeds. These emerging algorithms can potentially be used for real-time classification over biosignal data streams like EEG and ECG, etc. This paper presents a pioneer effort that studies the feasibility of classification algorithms for analyzing biosignals in the forms of infinite data streams. First, a performance comparison is made between traditional and stream-based classification. The results show that accuracy declines intermittently for traditional classification due to the requirement of model re-learning as new data arrives. Second, we show by a simulation that biosignal data streams can be processed with a satisfactory level of performance in terms of accuracy, memory requirement, and speed, by using a collection of stream-mining algorithms called Optimized Very Fast Decision Trees. The algorithms can effectively serve as a corner-stone technology for real-time classification in future biomedical applications.

• Journal of the Korea institute for structural maintenance and inspection
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• v.6 no.4
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• pp.169-179
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• 2002

This paper presents an efficient algorithm for the estimation of damage location and severity in structure using Probabilistic Neural Network (PNN). Artificial neural network has been being used for damage assessment by many researchers, but there are still some barriers that must be overcome to improve its accuracy and efficiency. The major problems with the conventional neural network are the necessity of many training data for neural network learning and ambiguity in the relation of neural network architecture with convergence of solution. In this paper, PNN is used as a pattern classifier to overcome those problems in the conventional neural network. The basic idea of damage assessment algorithm proposed in this paper is that modal characteristics from a damaged structure are compared with the training patterns which represent the damage in specific element to determine how close it is to training patterns in terms of the probability from PNN. The training pattern that gives a maximum probability implies that the element used in producing the training pattern is considered as a damaged one. The proposed damage assessment algorithm using PNN is applied to a 2-span continuous beam model structure to verify the algorithm.