• 한국간호교육학회지
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• 제23권4호
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• pp.409-418
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• 2017

Purpose: Ineffective communication between healthcare professionals leads to medical errors and puts patients at risk of harm. The aim of this study was to examine the effects of interdisciplinary communication training in simulated settings on self-confidence in communication, observed communication behavior, and technical skill performances of nursing students. Methods: A repeated measures design with one group was conducted. Data was collected from 92 nursing students through a self-administered questionnaire and an observed behavior checklist. Data analysis was performed using descriptive statistics, a paired t-test, the Wilcoxon signed rank test, the Friedmann test, a Repeated Measures ANOVA, and the Spearman correlation coefficient. Results: Self-confidence in communication, observed Identification-Situation-Background-Assessment-Recommendation-Read Back communication behavior, and technical skill performances of nursing students were significantly improved. In observed communication behavior, the performance of Assessment and Read Back communication significantly improved. However, communication of Background, Assessment, and Recommendation did not improve to a satisfactory level. Observed communication behavior was not correlated with the overall technical skill performance. Conclusion: These results indicate that interdisciplinary communication training in simulated settings was effective in improving nursing students' confidence and communication skills with physicians. Longitudinal studies with larger samples are recommended in order to verify the effects of interdisciplinary communication training on clinical outcomes as well as communication competence.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.653-662
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• 1989

Cerebellar Model Arithmetic Controller (CMAC) has been introduced as an adaptive control function generator. CMAC computes control functions referring to a distributed memory table storing functional values rather than by solving equations analytically or numerically. CMAC has a unique mapping structure as a coarse coding and supervisory delta-rule learning property. In this paper, learning aspects and a convergence of the CMAC were investigated. The efficient training algorithms were developed to overcome the limitations caused by the conventional maximum error correction training and to eliminate the accumulated learning error caused by a sequential node training. A nonlinear function generator and a motion generator for a two d.o.f. manipulator were simulated. The efficiency of the various learning algorithms was demonstrated through the cpu time used and the convergence of the rms and maximum errors accumulated during a learning process. A generalization property and a learning effect due to the various gains were simulated. A uniform quantizing method was applied to cope with various ranges of input variables efficiently.

• 한국기계연구소 소보
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• 통권19호
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• pp.93-115
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• 1989

Cerebellar Model Arithmetic Controller(CMAC) has been introduced as an adaptive control function generator. CMAC computes control functions referring to a distributed memory table storing functional values rather than by solving equations analytically or numerically. CMAC has a unique mapping structure as a coarse coding and supervisory delta-rule learning property. In this paper, learning aspects and a convergence of the CMAC were investigated. The efficient training algorithms were developed to overcome the limitations caused by the conventional maximum error correction training and to eliminate the accumulated learning error caused by a sequential node training. A nonlinear function generator and a motion generator for a two d. o. f. manipulator were simulated. The efficiency of the various learning algorithms was demonstrated through the cpu time used and the convergence of the rms and maximum errors accumulated during a learning process; A generalization property and a learning effect due to the various gains were simulated. A uniform quantizing method was applied to cope with various ranges of input variables efficiently.

• 한국CDE학회논문집
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• 제19권4호
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• pp.423-433
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• 2014

For the proper decision making and responsibility enhancement for an unexpected accident in large-scale facilities, it is important to train operators or first responders to minimize potential human errors and consequences resulted from them. Simulation technologies, including human-computer interaction and virtual reality, enables personnel to participate in simulated hazardous situations with a safe, interactive, repetitive way to perform these training activities. For the development of accident response training simulator, it is necessary to define components comprising the simulator and to integrate them for the given training purpose. In this paper, we analyze requirements of the training simulator, derive key components, and design the training simulator. Based on the design, we developed a prototype training simulator and verified the simulator through experiments.

• 한국CDE학회논문집
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• 제14권4호
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• pp.271-280
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• 2009

An experience based training system concerning various fire situations which may result many casualties has been required to make rapid decision and improve the responsiveness. Recently, the necessity of virtual reality (VR) based training system which can replace a dangerous full-scale fire training and be easily adopted to the training or evaluation process is increasing. This study constructed tile virtual environment according to pre-defined scenarios, utilized the FDS(Fire Dynamics Simulator), three dimensional computational fire analysis program, to derive numerically simulated data on the propagation of fire. Finally, by visualizing the realistic fire and smoke behavior through virtual reality technique and implementing real-time interaction, we developed a VR-based fire training simulator. Also, in order to ensure the sense for tile real of a virtual world and reaI-time performance at the same time, we proposed appropriate data processing and space search algorithms, demonstrate d the value of proposed method through experiments.

• 한국간호교육학회지
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• 제23권2호
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• pp.224-235
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• 2017

Purpose: This purpose of this study was to investigate the effectiveness of educational design according to Goal-based Scenario constituent elements such as educational goals, mission, cover story, role, scenario operation, resources, and feedback in simulation training. Methods: The subjects of this study were 130 nursing students in their senior year who enrolled in the simulation exercise I course. They were divided into a total of 10 groups in which less than 20 students were assigned. In order to verify the effectiveness of the simulation training through Goal-based Scenario instructional design, a design of non-equality control group was carried out. Results: The results of this study were as follows: Critical thinking (t=1.81, p=.073) and problem solving ability (t=1.79, p=.076), course satisfaction (t=8.61, p<.001) and academic performance (t=5.48, p=.001) were supported. Conclusion: This study applied a Goal-based Scenario simulation program to present clear objectives for simulating training and to advance learning methods that are appropriate to the current education environment. In addition, this study has significance in presenting an instructional model for various simulated practice education and can be used as useful basic data related to simulated training education.

• 정보처리학회논문지B
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• 제15B권1호
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• pp.53-60
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• 2008

본 논문은 입술의 움직임을 통해 음성을 인식하는 자동 독순의 인식 성능 향상을 위해 인식기로 사용되는 은닉 마르코프 모델을 분별적으로 학습하는 기법을 제안한다. 기존에 많이 사용되는 Baum-Welch 알고리즘에서는 각 모델이 해당 클래스 데이터의 확률을 최대화하는 것을 목표로 학습시키는 반면, 제안하는 알고리즘에서는 클래스간의 분별력을 높이기 위해 두 가지의 최소화 목적함수로 이루어진 새로운 학습 목표를 정의하고 이를 달성하기 위해 모의 담금질 기법에 기반을 둔 다목적함수 전역 최적화 기법을 개발한다. 화자종속 인식 실험을 통해 제안하는 기법의 성능을 평가하며, 실험결과 기존의 학습 방법에 비해 오인식율을 상대적으로 약 8% 감소시킬 수 있음을 보인다.

• 인터넷정보학회논문지
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• 제11권1호
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• pp.117-128
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• 2010

소모적이고 안전사고에 노출된 실탄 사격을 대체할 수 있는 사격 시뮬레이션 시스템과 관련된 연구가 활발히 진행되고 있다. 본 논문에서는 기존의 센서 기반 기술을 이용한 인식 방법을 사용하지 않고 영상처리기반 기술을 이용하여 탄착점을 추출하는 과정을 제시하였다. 이를 위해 모의총기의 총구에 부착된 카메라로부터 획득한 영상 분석을 통해 탄착점 위치를 찾아내고, 그 탄착점의 좌표 값과 과녁과의 매핑을 통한 최종 사격결과를 계산하여 제공할 수 있도록 한다. 이 시스템은 전송된 영상에서 영사영역을 구분하는 단계, 영사영역 내에서 탄착점 위치를 추출하는 단계, 탄착점 위치에 따른 사격결과를 계산하여 사용자에게 제공하는 단계로 나누어진다. 전송된 영상을 이진 영상으로 변환 후 영사영역의 꼭짓점의 위치를 찾고 그 안에 존재하는 탄착점을 추출한다. 구현된 탄착점 추출과정을 단계별로 제시하였으며 모의 사격 시스템을 위한 인터페이스에서 결과를 확인 할 수 있도록 하였다. 실험을 통해 영사영역의 꼭짓점 위치의 정확성을 확인하였으며 탄착점 추출 및 그에 따른 점수 환산결과를 확인할 수 있도록 하였다.

• 한국반도체및디스플레이장비학회:학술대회논문집
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• 한국반도체및디스플레이장비학회 2003년도 추계학술대회 발표 논문집
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• pp.169-176
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• 2003

Telematic and new programming technologies support the increasing demand of education and training leading to the delivery of computer based learining systems open to distance and continuing education. Using LabVIEW, we designed and implemented an interactive learning environment for practice on electronics measurement methodologies. The environment provides remote access to real and simulated instrumentation and guided experiments on basic circuits. The environment is applied to the education and training on electronics for engineers in the field of semiconductor industry.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1075-1087
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• 2020

Aviation ICT technology is a convergence technology between aviation and electronics, and has a wide variety of applications, including navigation and education. Among them, in the field of aerial pilot training, there are many problems such as the possibility of accidents during training and the lack of coping skills for various situations. This raises the need for a simulated pilot training system similar to actual training. In this paper, pilot training data were collected in pilot training system using VR/AR to increase immersion in flight training, and Customized Pilot Training Platform with Collaborative Deep Learning in VR/AR Environment that can recommend effective training courses to pilots is proposed. To verify the accuracy of the recommendation, the performance of the proposed collaborative deep learning algorithm with the existing recommendation algorithm was evaluated, and the flight test score was measured based on the pilot's training data base, and the deviations of each result were compared. The proposed service platform can expect more reliable recommendation results than previous studies, and the user survey for verification showed high satisfaction.